R/data.R
In Auburngrads/SMRD: Statistical Methods For Reliability Data
#' Adhesive bonded power element test
#'
#' @docType data
#' @name adhesivebondc
#' @family data-notdone
#' @format A \code{data.frame} with 336 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied to the bond \tab \bold{Numeric}\cr
#' [, 2] \tab rh \tab Relative humidity applied to the bond \tab \bold{Numeric}\cr
#' [, 3] \tab days \tab Time the bond was under load \tab \bold{Numeric}\cr
#' [, 4] \tab pounds \tab Load at which the bond failed \tab \bold{Numeric}
#' }
#' @source ####
#' @description How do pounds and days work together? Two responses? Constant strain?
NULL
#' Accelerated adhesive creep test
#'
#' @docType data
#' @name adhesivestrength
#' @family data-notdone
#' @format A \code{data.frame} with 89 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab pounds \tab Load at which the adhesive failed \tab \bold{Numeric} \cr
#' [, 2] \tab celsius \tab Temperature applied to the bond \tab \bold{Numeric}\cr
#' [, 3] \tab days \tab Time the bond was under load \tab \bold{Numeric}\cr
#' [, 4] \tab group \tab Type of adhesive\tab \bold{Categoric}
#' }
#' @source Beckwith, J.P. (1980), An estimator and design techinque for the estimation of a rate parameter in accelerated testing. Department of Mathematics and Computer Science, Michigan Technological University, Houghton, MI.
#' @description ####
NULL
#' Fatigue crack growth in an unknown metallic alloy.
#'
#' @docType data
#' @name alloya
#' @format A \code{data.frame} with 262 rows and 3 variables
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Crack length observed at \code{megacycles} \tab \bold{Numeric}\cr
#' [, 2] \tab specimen \tab Test specimen designator \tab \bold{Categoric}\cr
#' [, 3] \tab megacycles \tab Number of fatigue cycles (in millions) when \code{length} was inspected \tab \bold{Numeric}
#' }
#' @source Hudak, S.J., Saxena, A., Bucci, R. J., and Malcom, R .C. (1978),
#' Development of standard methods of testing and analyzing fatigure crack growth rate data,
#' Technical Report AFML-TR-78-40, Westinghouse R & D Center, Westinghouse Electric Corporation, Pittsburgh, PA.
#' @source Bogdanoff, J. L. and Kozin, F. (1985), Probablistic Models of Cumulative Damage, New York, NY; John Wiley & Sons.
#' @description Twenty-one specimens of an unknown alloy were subjected
#' to the same cyclic load profile. Prior to testing, an initial crack
#' (length = 0.9 in) was cut into each specimen to serve as a crack
#' nucleation site. After each increment of 10,000 fatigue cycles the length
#' of the crack was recorded. A specimen was considered to have failed when
#' the crack length exceeded 1.6 inches, otherwise the test concluded after 1.2 million
#' cycles.
NULL
#' Metal alloy tensile strength test
#'
#' @docType data
#' @name alloyc
#' @format A \code{data.frame} with 9 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab ksil \tab Lower limit of the stress interval \tab \bold{Numeric}\cr
#' [, 2] \tab ksiu \tab Upper limit of the stress interval \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (interval-censored)\tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval\tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A., Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons. \bold{276}
#' @description These data resulted from a test that was conducted to obtain information on the strength of an alloy produced by
#' an alternate process. The designation for the alloy was not provided and is only referred to as "Alloy C". Specimens
#' of the alloy were subjected to different levels of constant stress, measured in ksi (1 ksi = 1000 psi). The data set
#' includes the number of failed specimens observed in each interval of applied stress.
NULL
#' AMSAA reliability growth test
#'
#' @rdname AMSAA
#' @docType data
#' @family data-notdone
#' @name amsaaexactfail
#' @format A \code{data.frame} with 725 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab vehicle \tab Vehicle type \tab \bold{Categoric}\cr
#' [, 2] \tab miles \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (Start/Fail/End) \tab \bold{Categoric}
#' }
#' @source Lieblein J., and Zelen, M. (1956), Statistical investigation of the fatigue life of deep-groove ball bearings, Journal of Research, National Bureau of Standards, 57, 273--316.
#' @description ####
NULL
#' AMSAA reliability growth test
#'
#' @rdname AMSAA
#' @docType data
#' @family data-notdone
#' @name amsaawindow1
#' @format A \code{data.frame} with 725 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab vehicle \tab Vehicle type \tab \bold{Categoric}\cr
#' [, 2] \tab miles \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (Start/Fail/End) \tab \bold{Categoric}
#' }
#' @source Lieblein J., and Zelen, M. (1956), Statistical investigation of the fatigue life of deep-groove ball bearings, Journal of Research, National Bureau of Standards, 57, 273--316.
#' @description ####
NULL
#' AMSAA reliability growth test
#'
#' @rdname AMSAA
#' @docType data
#' @family data-notdone
#' @name amsaawindow2
#' @format A \code{data.frame} with 725 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab vehicle \tab Vehicle type \tab \bold{Categoric}\cr
#' [, 2] \tab miles \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (Start/Fail/End) \tab \bold{Categoric}
#' }
#' @source Lieblein J., and Zelen, M. (1956), Statistical investigation of the fatigue life of deep-groove ball bearings, Journal of Research, National Bureau of Standards, 57, 273--316.
#' @description ####
NULL
#' Appliance cord failures
#'
#' @docType data
#' @family data-notdone
#' @name appliancea
#' @format A \code{data.frame} with 36 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab type \tab Appliance type \tab \bold{Categoric}
#' }
#' @source Nelson W. (1982), Applied Life Data Analysis, New York: John Wiley & Sons, pg 121
#' @description ####
NULL
#' Appliance-B failures (multiple data sources)
#'
#' @docType data
#' @family data-notdone
#' @name applianceb
#' @format A \code{data.frame} with 398 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab source \tab Information source (test environment) \tab \bold{Categoric}\cr
#' [, 2] \tab event \tab Event observed at \code{days} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{time} \tab \bold{Numeric} \cr
#' [, 4] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 5] \tab mode \tab Failure mode observed at \code{days} \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Herbicide concentration test
#'
#' @docType data
#' @family data-notdone
#' @name atrazinejune
#' @format A \code{data.frame} with 24 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Atrazine concentration \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{percent} (failed/left-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name aprel72
#' @format A \code{data.frame} with 25 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab hoursl \tab Start of observation interval \tab \bold{Numeric}\cr
#' [, 2] \tab hoursu \tab End of observation interval \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric} \cr
#' [, 5] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998), Statistical Methods for Reliability Data
#' @description ####
NULL
#' Fatigue life test (alloy T7987)
#'
#' @docType data
#' @name at7987
#' @format A \code{data.frame} with 68 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kilocycles} \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description A test was conducted to assess the fatigue life of an alloy,
#' designated as T-7987. In this test, 72 specimens were subjected
#' to an unreported load spectrum. The number of cycles at which a
#' specimen failed was recorded (rounded to the nearest thousand cycles).
#' Of the 72 units tested, 67 units failures were observed and 5 units were right
#' censored at 300 kilocycles.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson20
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson200
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson2000
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson10220
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' Yokobori fatigue-fracture test
#'
#' @docType data
#' @name bkfatigue10
#' @format A \code{data.frame} with 63 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at failure (in thousands) \tab \bold{Numeric}
#' }
#' @source Bogdanoff, J.,L. and Kozin, F. (1985) Probablistic Models of Cumulative Damage, pp. 224-225,
#' New York, NY; John Wiley & Sons.
#' @source Yokobori, T. (1951) Fatigue fracture in steel, Journal of the Physical Society of Japan, \bold{6}, 81-86.
#' @description Yokobori describes a fatigue-fracture test on 0.41\% carbon steel cylindrical specimens, tested at
#' \eqn{\pm 37.1 kg/mm^2} stress amplitude.
NULL
#' Bleed system reliability data
#'
#' @docType data
#' @name bleed
#' @format A \code{data.frame} with 60 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab base \tab Base where observation was made \tab \bold{Categoric}
#' }
#' @source Abernethy, R. B., Breneman, J. E., Medlin, C. H., and Reinman, G. L., (1983)
#' Weibull Analysis Handbook, Air Force Wright Aeronautical Laboratories Technical Report AFWAL-TR-83-2079
#' @description Abernethy, Breneman, Medlin, and Reinman give failure and
#' running times for 2256 bleed systems operating at several
#' geographically separated bases. They observed a change in
#' the probability plot before and after 600 of operation.
#' Further examination showed that 9 of the 19 failures occurred
#' at Base 'D'. Separate analyses of the Base D data and the data
#' from the other bases indicated different life distributions.
#' The large slope for Base D indicated strong wearout behavior.
#' The relatively small slope for the other bases suggested infant
#' mortality or accidental failures. After investigation it was
#' determined that the early-failure problem at base D was caused by
#' salt air (Base D was near the ocean). A change in maintenance
#' procedures there solved the dominant bleed system reliability problem.
NULL
#' Light bulb failure test
#'
#' @docType data
#' @family data-notdone-source-desc
#' @name bulb
#' @format A \code{data.frame} with 417 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at failure \tab \bold{Numeric}
#' }
#' @source Davis, D. J. (1952), An analysis of some failure data, Journal of the American Statistical Association, 47,113-150.
#' @description ####
NULL
#' Large system bearing cage fracture test
#'
#' @docType data
#' @name bearingcage
#' @description Ball bearing assembly failure data
#' @format A \code{data.frame} with 25 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Abernethy, R. B., Breneman, J. E., Medlin, C. H., and Reinman, G. L. (1983)
#' Weibull Analysis Handbook, Air Force Wright Aeronautical Laboratories Technical Report AFWAL-TR-83-2079
#' @description The service life requirement for a ball bearing assembly was specified
#' such that \eqn{t_{0.1}}{t[0.1]} (aka the B10 life) be greater that 8000 hours.
#' Analysts were concerned that the design of the bearing cage in this assembly
#' was inadequate and could lead to premature failures during service.
#' Service times were collected for 1703 assemblies that were introduced into
#' service over time. The analysts wanted to use the service life data to
#' determine if a redesign was needed to ensure that the units could meet the
#' service life requirement. Management was also interested in determining the
#' number of additional failures that could be expected over the next year
#' for the population of assemblies already in service.
#' @details Bearing cages are used in ball bearing assemblies to ensure that the
#' ball bearings do not drift out of position relative to the other ball
#' bearings during use.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name bearinga
#' @format A \code{data.frame} with 5 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kilocycles} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kilocycles} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name censortruncationtest
#' @format A \code{data.frame} with 16 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval in hours \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval in hours \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab trun_lower \tab Start of a truncation interval in hours \tab \bold{Numeric}\cr
#' [, 5] \tab trun_upper \tab End of a truncation interval in hours \tab \bold{Numeric}\cr
#' [, 6] \tab trun_event \tab Truncation type observed (right/left/interval/exact) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Rolling contact fatigue of ceramic ball bearings
#'
#' @docType data
#' @name ceramicbearing
#' @format A \code{data.frame} with 69 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{kilocycles} \tab \bold{Categoric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed at \code{kilocycles} \tab \bold{Numeric}\cr
#' [, 5] \tab kilonewtons \tab Applied stress (in thousands) \tab \bold{Numeric}
#' }
#' @source McCool, J. I. (1980),
#' Confidence limits for Weibull regression with censored data,
#' IEEE Transactions on Reliability, \bold{R-29}, 145-150.
#' @description McCool gives the results of a rolling contact fatigue test of ceramic
#' ball bearings. Ten specimens were tested across four levels of stress
#' measured in kilo-Newtons (1 kN = 1000 N).
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name chemicalprocess
#' @format A \code{data.frame} with 100 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Chemical concentration observed \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name cirpack4
#' @format A \code{data.frame} with 38 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval in days \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval in days \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' Circuit pack vendor comparison
#'
#' @docType data
#' @family data-notdone
#' @name cirpack5
#' @format A \code{data.frame} with 41 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{days} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{days} \tab \bold{Numeric} \cr
#' [, 4] \tab vendor \tab Producing vendor \tab \bold{Categoric}\cr
#' }
#' @source Hooper, J.H. and Amster, S.J. (1990) Analysis and presentation of reliability data in Handbook of Statistical Methods for Engineers and Scientists, Harrison M. Wadsworth, editor. New York: McGraw Hill
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name componentd
#' @format A \code{data.frame} with 24 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab months \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{months} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{months} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' Computer program execution time data
#'
#' @docType data
#' @name comptime
#' @format A \code{data.frame} with 17 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab users \tab Number of users \tab \bold{Numeric}\cr
#' [, 2] \tab load \tab System load \tab \bold{Numeric}\cr
#' [, 3] \tab seconds \tab Execution time observed at \code{load} \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Meeker and Escobar report the amount of time required for a Unix computer
#' to execute a particular computer program on a multiuser computer system.
#' The response (execution) times are a function of the total
#' system load, which was obtained using the Unix \code{uptime}
#' command.
NULL
#' Computer lab reliability data
#'
#' @docType data
#' @name computerlab
#' @format A \code{data.frame} with 101 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab computer \tab Designation code for the computer \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (Repair/End) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description A small un-monitored computer laboratory contains 10 networked
#' microcomputers. Users who notice a hardware or software problem with
#' a computer are supposed to report the problem to a technician who
#' will fix the problem. This data set includes the days in which trouble
#' calls were received, for each computer. Most of the trouble
#' reports were easy to address (replace a defective mouse, reboot
#' the computer, remake the computer's file system from the server, remove
#' stuck floppy disk, tighten loose connector, etc.). All of the computers
#' were in operation for the entire semester (day 1 through 105).
NULL
#' Concrete fatigue-life test
#'
#' @docType data
#' @family data-notdone
#' @name concrete
#' @format A \code{data.frame} with 75 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab ratio \tab Stress ratio \code{max(tensile stress)/max(compressive stress)} \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles (in thousands) \tab \bold{Numeric}
#' }
#' @source Castillo, E. and Hadi, Ali S., (1995)
#' Modeling lifetime data with application to fatigue models,
#' Journal of the American Statistical Association, \bold{90}, 1041-1054
#' @description ####
NULL
#' Circuit pack field tracking study
#'
#' @docType data
#' @name cirpack6
#' @format A \code{data.frame} with 27 rows and 7 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab truntype \tab Truncation type (left-truncated/right-truncated/interval-truncated) \tab \bold{Categoric}\cr
#' [, 5] \tab truntime \tab Truncation time \tab \bold{Numeric}\cr
#' [, 6] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 7] \tab vendor \tab Producing vendor \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998), Statistical Methods for Reliability Data, New York, NY; Wiley-Interscience
#' @description Circuit packs were manufactured to the same design
#' specification, but by two different vendors. The
#' trial ran for 10,000 hours to determine which vendor's
#' circuit packs were more reliable. The 4993 circuit packs
#' from Vendor 1 came straight from production.
#' The 4993 circuit packs from Vendor 2 had already seen 1000
#' hours of burn-in testing at the manufacturing plant under
#' operating conditions similar to those in the field trial.
#' The circuit packs manufactured by Vendor 2 were sold at a
#' higher price because field reliability was supposed to have
#' been improved by the burn-in screening of circuit packs
#' containing defective components. Failures during the first
#' 1000 hours of burn-in were not recorded. This is the reason
#' for the unknown entries in the table and for having information
#' out to 11,000 hours for Vendor 2. The data are for the first
#' failure in a position. Information on circuit packs replaced
#' after initial failure in a position was not part of the study.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name connectionstrength
#' @format A \code{data.frame} with 14 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab strength \tab Strength (in ???) of the connection \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{strength} \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of failures observed at \code{strength}\tab \bold{Numeric}
#' }
#' @source Nelson W. (1984), Applied Life Data Analysis, New York: John Wiley & Sons, pg. 111.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name customerlife
#' @format A \code{data.frame} with 117 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{days} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Diesel engine cylinder replacements
#'
#' @docType data
#' @name cylinder
#' @format A \code{data.frame} with 276 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab engine \tab Type of engine used \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{days} \tab \bold{Numeric}\cr
#' [, 4] \tab event \tab Event observed at \code{days} (Replacement/End) \tab \bold{Categoric}
#' }
#' @source Nelson and Doganaksoy (1989),
#' A computer program for an estimate and confidence limits for the mean cumulative function for cost or number of repairs of repairable products,
#' TIS report 89CRD239, General Electric Company Research and Development, Schenectady, NY
#' @description Nelson and Doganaksoy present data on cylinder replacement times for 120 diesel engines.
#' We take these engines to be a sample from a larger population of engines. Each engine has 16 cylinders.
#' @details Cylinders in a type of diesel engine can develop leaks or have low compression.
#' Cylinders are inspected at times of convenience, along with other usual engine maintenance operations.
#' Faulty cylinders are replaced by a rebuilt cylinder. More than one cylinder could be replaced at an inspection.
#' Management needed to know if the company should perform preventive replacement of cylinders before they develop
#' low compression failures.
NULL
#' Temperature-accelerated life test data
#'
#' @docType data
#' @name devicea
#' @format A \code{data.frame} with 37 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied to the device during testing \tab \bold{Numeric}
#' }
#' @source Hoopers J. H. and Amster, S. J. (1990)
#' Analysis and presentation of reliability data, in Handbook of Statistical Methods for Engineers and Scientists,
#' McGraw-Hill, New York. Harrison M. Wadsworth, Editor.
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York: John Wiley & Sons.
#' @description Hooper and Amster (1990) analyze the temperature-accelerated life test data on an unidentified device. Meeker
#' and Escobar (1998) refer to this device as "Device A". The purpose of the experiment was to determine if "Device A"
#' would meet a failure rate objective through 10,000 hours and 30,000 hours at an operating ambient temperature of
#' 10 degrees celsius. Device samples were tested for up to 5000 hours at four separate temperatures.
NULL
#' Power output degradation in integrated circuit devices
#'
#' @docType data
#' @name deviceb
#' @format A \code{data.frame} with 570 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab powerdrop \tab Degradation (measured in decibels dB) of a device under test \tab \bold{Numeric}\cr
#' [, 2] \tab device \tab Label for the device under test \tab \bold{Categoric}\cr
#' [, 3] \tab hours \tab Time at which the degradation measure was observed \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York: John Wiley & Sons.
#' @description Samples of integrated circuit devices called "Device B" were tested at each of three levels of junction temperature.
#' The purpose of the test was to provide design engineers with an assessment of the proportion of these devices that
#' would "fail" before 15 years (about 130 thousand hours) of operation at 80 degrees celsius. Failure for an individual
#' device was defined as when the measured power output dropped more than 0.5 decibels (dB) below initial output. At
#' standard the operating temperature (80 degrees celsius), the devices will degrade too slowly to provide useful
#' information in 6 months. Because units at low temperature degrade more slowly, they had to be run for longer periods
#' of time to accumulate appreciable degradation. Because of severe limitations in the number of test positions, fewer
#' units were run at lower temperatures.
#'
#' Note: The original data from this experiment are proprietary. The observations in this dataset were actually simulated
#' from a model suggested by physical theory and limited real data that was available at the time when the more complete
#' experiment was being planned.
NULL
#' Integrated circuit accelerated life test data
#'
#' @docType data
#' @name devicec
#' @format A \code{data.frame} with 26 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature to which a device was exposed during the test \tab \bold{Numeric}\cr
#' [, 2] \tab kilohours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Observations from an accelerated life test performed on an integrated circuit device called "Device C". Failures
#' were caused by a chemical reaction inside the circuit package. Reliability engineers tested 10 circuits at five
#' different temperatures over a period of 3000 hours. The purpose of the experiment was to estimate the activation
#' energy of the failure-causing reaction and to obtain an estimate of the integrated circuit life distribution at
#' an 80 degrees celsius junction temperature.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @rdname deviced
#' @name devicedconnected
#' @format A \code{data.frame} with 986 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Failure time \tab \bold{Numeric}\cr
#' [, 2] \tab cycles \tab Total accumulated cycles at failure \tab \bold{Numeric}\cr
#' [, 3] \tab causeoffailure.fm1 \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab causeoffailure.fm2 \tab Start time (in hours) of an inspection interval \tab \bold{Numeric}\cr
#' [, 5] \tab causeoffailure.fm3 \tab Time (in hours) at which an interval ends \tab \bold{Numeric}\cr
#' [, 6] \tab causeoffailure.fmother \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 7] \tab perweek \tab Average number of cycles (across all users) \tab \bold{Numeric}\cr
#' [, 8] \tab weeksinserted \tab Time inserted into service \tab \bold{Numeric}\cr
#' [, 9] \tab weeksreturned \tab Time return to manufacturer \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @rdname deviced
#' @name devicednotconnected
#' @format A \code{data.frame} with 986 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Failure time \tab \bold{Numeric}\cr
#' [, 2] \tab cycles \tab Total accumulated cycles at failure \tab \bold{Numeric}\cr
#' [, 3] \tab causeoffailure.fm1 \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab causeoffailure.fm2 \tab Start time (in hours) of an inspection interval \tab \bold{Numeric}\cr
#' [, 5] \tab causeoffailure.fm3 \tab Time (in hours) at which an interval ends \tab \bold{Numeric}\cr
#' [, 6] \tab causeoffailure.fmother \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 7] \tab perweek \tab Average number of cycles (across all users) \tab \bold{Numeric}\cr
#' [, 8] \tab weeksinserted \tab Time inserted into service \tab \bold{Numeric}\cr
#' [, 9] \tab weeksreturned \tab Time return to manufacturer \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' Field tracking study with multiple failure modes
#'
#' @docType data
#' @name deviceg
#' @format A \code{data.frame} with 30 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at failure (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{kcycles} (Wearout/Surge/Suspension) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Thirty (30) samples of a device that was part of a power generation system were tested as part of a field tracking study
#' for up to 300 kilocycles. The devices under test were installed in typical service environments and at the occurence
#' of a failure, the observed number of cycles and the type of failure were recorded.
#' Surge failures, which predominated early in the device life-cycle, were caused by an accumulation of randomly occurring
#' damage from power-line voltage spikes during electric storms resulting in failure of a particular unprotected electronic
#' component. Wearout failures resulted from normal product wear and began to appear after 100 thousand cycles of use.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name deviceh
#' @format A \code{data.frame} with 38 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kcycles} (failed/survived) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kcycles} \tab \bold{Numeric}
#' }
#' @source Doganaksoy N., Hahn, G. J., and Meeker, W. Q. (2000), Product life analysis: a case study, Quality Progress, June 2000.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name devicen
#' @format A \code{data.frame} with 24 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab months \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{months} (right-censored/left-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab counts \tab Number of events observed at \code{months} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name diskber
#' @format A \code{data.frame} with 80 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab rate \tab Observed error rate of \code{disk} \tab \bold{Numeric}\cr
#' [, 2] \tab disk \tab Disk type (1 - 16) \tab \bold{Categoric}\cr
#' [, 3] \tab hours \tab Event time \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied to \code{disk} \tab \bold{Numeric}
#' }
#' @source Murray, W. P. (1993),
#' Archival life expectancy of 3M-magneto-optic media,
#' Journal of the Magnetics Society of Japan \bold{17}, Supplement S1, 309-314.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name doatrun
#' @format A \code{data.frame} with 48 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval \tab \bold{Numeric}\cr
#' [, 3] \tab censor \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric} \cr
#' [, 5] \tab truntime \tab Truncation time \tab \bold{Numeric}\cr
#' [, 6] \tab truntype \tab Truncation type \tab \bold{Categoric}
#' }
#' @source ####
#' @description data truncated because of burn-in and removal of an unknown number of DOAs
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name electromech
#' @format A \code{data.frame} with 9 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in months) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in months) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Hahn and Meeker (1982a)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name engineemissions
#' @format A \code{data.frame} with 16 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab emissions \tab ##### \tab \bold{Numeric}
#' }
#' @source Meeker W.Q., Escobar L.A., and Lu (1998)
#' @description ####
NULL
#' NIST epoxy weathering test
#'
#' @docType data
#' @family data-notdone
#' @name epoxyweathering
#' @format A \code{data.frame} with 209 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab spec \tab Type of epoxy tested \tab \bold{Categoric}\cr
#' [, 2] \tab dosage \tab ##### \tab \bold{Numeric}\cr
#' [, 3] \tab damage \tab ##### \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' Diesel generator fan failures
#'
#' @docType data
#' @name fan
#' @format A \code{data.frame} with 37 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Nelson, W. (1982), Applied Life Data Analysis, pg 133, New York, John Wiley & Sons Inc.
#' @description Failures in 12 of 70 generator fans were reported at times ranging between 450 hours and 8,750 hours.
#' Of the 58 units that did not fail, the reported running times (i.e., censoring times) ranged between
#' 460 and 11,500 hours. Different fans had different running times because units were introduced into
#' service at different times and because their use-rates differed.
NULL
#' Wire filament test design data
#'
#' @docType data
#' @family data-notdone
#' @name filament
#' @format A \code{data.frame} with 6 rows and 7 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 2] \tab volts \tab Electrical power applied \tab \bold{Numeric}\cr
#' [, 3] \tab weeks1 \tab Number of units tested for one week \tab \bold{Categoric}\cr
#' [, 4] \tab weeks2 \tab Number of units tested for two weeks \tab \bold{Categoric}\cr
#' [, 5] \tab weeks5 \tab Number of units tested for five weeks \tab \bold{Categoric}\cr
#' [, 6] \tab weeks10 \tab Number of units tested for ten weeks \tab \bold{Categoric}\cr
#' [, 7] \tab weeks20 \tab Number of units tested for twenty week \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Gallium-Arsenic Laser Degradation Test
#'
#' @docType data
#' @name gaaslaser
#' @format A \code{data.frame} with 255 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab increase \tab Percent increase in observed operating current \tab \bold{Numeric}\cr
#' [, 2] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 3] \tab hours \tab Accumulated time when \code{increase} was measured \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Over the life of some lasers devices, degradation causes
#' a decrease in light output. In this test, a feedback mechanism was used
#' to maintain a constant light output by increasing the operating current.
#' Fifteen GaAs laser devices were tested at an elevated temperature of
#' 80^{o} C to accelerate the degradation process. The operating current
#' was measured in 250-hour intervals and the data were recorded as the
#' percent increase in current compared to the initial operating current
#' measured when the test began. A device was considered to have failed
#' if the percent increase reached 10\%.
NULL
#' Unscheduled maintenance actions for the U.S.S. Grampus
#'
#' @docType data
#' @name grampus
#' @format A \code{data.frame} with 57 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit type \tab \bold{Categoric}\cr
#' [, 2] \tab kilohours \tab Accumulated hours at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{khours} (Repair/End) \tab \bold{Categoric}
#' }
#' @source Lee, L. (1980)
#' Testing adequacy of the Weibull and loglinear rate models for a Poisson Process,
#' Technometrics, 22, 195-199
#' @source Ascher, H. and Feingold, H. (1984), Repairable Systems Reliability, New York, NY; Marcel Dekker
#' @description Lee (1980) presents a dataset containing the times (in thousands of operating hours) of unscheduled maintenance actions on the
#' number 4 diesel engine of the U.S.S. Grampus. The data contain observations of maintenance actions for the first 16,000 hours of operation.
#' The observations in this dataset should be treated as is they were observed from a single system, since information as
#' to which component in the engine failed was not included. The unscheduled maintenance actions were caused by either system
#' failures or by events that indicated that a system failure was imminent. Such maintenance actions are inconvenient and
#' expensive.
NULL
#' Locomotive braking grid replacements
#'
#' @docType data
#' @family data-done
#' @rdname grids
#' @name grids1
#' @format A \code{data.frame} with 39 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (Replacement/End) \tab \bold{Categoric}
#' }
#' @source Doganaksoy, N., and Nelson, W. (1991) A method and computer program MCFDIFF to compare two samples of repair data,
#' TIS Report 91CRD172, General Electric Company Research and Development, Schenectady, NY.
#' @description Age of locomotives when either their braking grids were replaced or the largest age observed for each locomotive
#' @details Two batches \code{grids1} & \code{grids2}
NULL
#' Locomotive braking grid replacements
#'
#' @docType data
#' @family data-done
#' @rdname grids
#' @name grids2
#' @format A \code{data.frame} with 39 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (Replacement/End) \tab \bold{Categoric}
#' }
#' @source Doganaksoy, N., and Nelson, W. (1991) A method and computer program MCFDIFF to compare two samples of repair data,
#' TIS Report 91CRD172, General Electric Company Research and Development, Schenectady, NY.
#' @description Age of locomotives when either their braking grids were replaced or the largest age observed for each locomotive
#' @details Two batches \code{grids1} & \code{grids2}
NULL
#' Unscheduled maintenance actions for the U.S.S. Halfbeak
#'
#' @docType data
#' @name halfbeak
#' @format A \code{data.frame} with 73 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 2] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{hours} (Start/Report/End) \tab \bold{Categoric}
#' }
#' @source Ascher, H. and Feingold, H. (1984), Repairable Systems Reliability, New York, NY; Marcel Dekker
#' @description Ascher and Feingold (1984) present a dataset containing unscheduled maintenance actions for the U.S.S. Halfbeak number 4 main
#' propulsion diesel engine over 25,518 operating hours. For each observation, an event was recorded as either \code{start}
#' (denotes the start of the observational period), \code{end} (denotes the end of the observational period), or \code{report}
#' (denoting that an unscheduled maintenance action was reported). The data were analyzed to determine if the system was
#' deteriorating (unscheduled maintenance actions were being reported more frequently as the system ages)
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name hcfdata
#' @format A \code{data.frame} with 83 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab specimen \tab Specimen type \tab \bold{Categoric}\cr
#' [, 2] \tab step \tab Was step-up loading used? \tab \bold{Categoric}\cr
#' [, 3] \tab hertz \tab Load frequency \tab \bold{Numeric}\cr
#' [, 4] \tab ratio \tab Stress ratio \code{max(tensile stress)/max(compressive stress)} \tab \bold{Numeric}\cr
#' [, 5] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 6] \tab range \tab Stress range \code{max(tensile stress) - max(compressive stress)} \tab \bold{Numeric}\cr
#' [, 7] \tab tensile \tab Maximum tensile stress \tab \bold{Numeric}\cr
#' [, 8] \tab event \tab Event observed at \code{cycles} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 9] \tab swt \tab Smith-Watson-Topper parameter \tab \bold{Numeric}
#' }
#' @source W.Q. Meeker, L.A. Escobar, and Lu (1998)
#' @details \deqn{swt = 0.5 x \sigma\Delta\epsilon}
#' @description ####
NULL
#' Sheathed tubular heater failures
#'
#' @docType data
#' @family data-notdone
#' @name heater
#' @format A \code{data.frame} with 24 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at failure \tab \bold{Numeric}\cr
#' [, 2] \tab fahrenheit \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Nelson (1990)
#' @description ####
NULL
#' Nuclear power plant heat exchanger tube crack data
#'
#' @docType data
#' @name heatexchanger
#' @format A \code{data.frame} with 9 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in years) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in years) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (left-censored/right-censored/interval-censored)\tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 5] \tab plant \tab Plant where the tube was installed \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1996), Statistical Methods for Reliability Data, New York, NY; Wiley-Interscience
#' @description Inspection data for heat exchanger tubes across three different nuclear power plants. The data were recorded in 1983,
#' at this point in time, Plant 1 had been in operation for 3 years, Plant 2 for 2 years, and Plant 3 for only 1 year.
#' Because all of the heat exchangers were manufactured according to the same design specifications and because the heat
#' exchangers were operated in generating plants run under similar tightly controlled conditions, the data from the
#' different plants was combined for the sake of making inferences and predictions about the time-to-crack distribution
#' of the heat exchanger tubes.
#' @details Nuclear power plants use heat exchangers to transfer energy from the reactor to steam turbines. A typical heat exchanger
#' contains thousands of tubes through which steam flows continuously when the heat exchanger is in service. With age,
#' heat exchanger tubes develop cracks, usually due to some combination of stress-corrosion and fatigue. A heat exchanger
#' can continue to operate safely when the cracks are small. If cracks get large enough, however, leaks can develop, and
#' these could lead to serious safety problems and expensive, unplanned plant shut-down time. To protect against having leaks,
#' heat exchangers are taken out of service periodically so that its tubes (and other components) can be inspected with
#' nondestructive evaluation techniques. At the end of each inspection period, tubes with detected cracks are plugged so that
#' water will no longer pass through them. This reduces plant efficiency, but extends the life of the expensive heat exchangers.
#' With this in mind, heat exchangers are built with extra capacity and can remain in operation up until the point where a certain
#' percentage (e.g., 5\%) of the tubes have been plugged.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name hpcrepairs
#' @format A \code{data.frame} with 8 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab system \tab System type \tab \bold{Categoric}\cr
#' [, 2] \tab months \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{months} (Repair/End) \tab \bold{Categoric}
#' }
#' @source Shimokawa, T., and Hamaguchi, Y. (1987), Statistical Evaluation of Fatigue Life and Fatigue Strength in Circular-Holed Notched Specimens of a Carbon Eight-Harness-Satin/Epoxy Laminate, in Statistical Research on Fatigue and Fracture (Current Japanese Materials Research, Vol. 2), eds. T. Tanaka, S. Nishijima, and M. Ichikawa, London: Elsevier, pp. 159-176.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name icdevice1
#' @rdname icdevice
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name icdevice2
#' @rdname icdevice
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name icdevice2_w300
#' @rdname icdevice
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name insulation
#' @rdname insulation
#' @format A \code{data.frame} with 128 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Event time \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab volts \tab Electrical power applied \tab \bold{Numeric}\cr
#' [, 4] \tab units \tab Number of events observed at \code{weeks} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name insulation_dadtplan
#' @rdname insulation
#' @format A \code{data.frame} with 128 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Event time \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab volts \tab Electrical power applied \tab \bold{Numeric}\cr
#' [, 4] \tab units \tab Number of events observed at \code{weeks} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name inconel
#' @format A \code{data.frame} with 246 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab strain \tab Amount of strain observed \tab \bold{Numeric}\cr
#' [, 2] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{cycles} (Failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Shen, C. L. (1994), Statistical Analysis of Fatigue Data,unpublished Ph.D. dissertation, University of Arizona, Department of Aerospace and Mechanical Engineering.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name laminatepanel
#' @format A \code{data.frame} with 125 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab mpa \tab Stress applied (in millions of pascals) \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}\
#' }
#' @source Shimokawa, T., and Hamaguchi, Y. (1987), Statistical Evaluation of Fatigue Life and Fatigue Strength in Circular-Holed Notched Specimens of a Carbon Eight-Harness-Satin/Epoxy Laminate,'' in Statistical Research on Fatigue and Fracture (Current Japanese Materials Research, Vol. 2), eds. T. Tanaka, S. Nishijima, and M. Ichikawa, London: Elsevier, pp. 159-176.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name largeball
#' @format A \code{data.frame} with 13 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval\tab \bold{Numeric}\cr
#' [, 5] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker W.Q., Escobar L.A., and Lu (1998)
#' @description ####
NULL
#' Integrated circuit life test
#'
#' @docType data
#' @name lfp1370
#' @format A \code{data.frame} with 22 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. (1987), Limited failure population life tests: application to integrated circuit reliability, Technometrics, 29, 51-65.
#' @description The primary purpose of this experiment was to estimate the proportion of
#' defective units being manufactured in the current production process and
#' to estimate the amount of 'burn-in' time that would be required to remove
#' most of the defective units from the product population. The engineers
#' involved in the experiment were also interested in whether it might be
#' possible to get the needed information about the state of the production process.
#' In the future, using much shorter tests (say 200 or 300 hours).
#'
#' @details The \code{event} column indicates that these data are singly right censored at 1370 hours.
#' However, the presence of ties indicates that the data are actually inspection times which
#' perhaps should have been recorded as interval censored observations.
#' @seealso \code{\link{lfptrun100}}
NULL
#' Integrated circuit life test (truncated)
#'
#' @docType data
#' @name lfptrun100
#' @format A \code{data.frame} with 28 rows and 34variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab count \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab truntime \tab Truncation time \tab \bold{Numeric}\cr
#' [, 4] \tab truntype \tab Truncation type \code{hours} \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. (1987), Limited failure population life tests: application to integrated circuit reliability, Technometrics, 29, 51-65.
#' @description The primary purpose of this experiment was to estimate the proportion of
#' defective units being manufactured in the current production process and
#' to estimate the amount of 'burn-in' time that would be required to remove
#' most of the defective units from the product population. The engineers
#' involved in the experiment were also interested in whether it might be
#' possible to get the needed information about the state of the production process.
#' In the future, using much shorter tests (say 200 or 300 hours).
#'
#' @details The \code{event} column indicates that these data are singly right censored at 1370 hours.
#' However, the presence of ties indicates that the data are actually inspection times which
#' perhaps should have been recorded as interval censored observations.
#' @seealso \code{\link{lfp1370}}
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name locomotivecontrol
#' @format A \code{data.frame} with 38 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilomiles \tab Accumulated distance at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kilomiles} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kilomiles} \tab \bold{Numeric}
#' }
#' @source Nelson (1982), page 33
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name luminosity
#' @format A \code{data.frame} with 2175 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time when \code{luminosity} was measured \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab unit \tab Unit type \tab \bold{Categoric}\cr
#' [, 4] \tab luminosity \tab Luminosity of something \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' Ball bearing fatigue test data
#'
#' @docType data
#' @name lzbearing
#' @format A \code{data.frame} with 23 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab megacycles \tab Accumulated cycles at failure (in millions) \tab \bold{Numeric}
#' }
#' @source Lawless, J. F. (1982), Statistical Models and Methods for Lifetime Data, New York, NY; Wiley & Sons
#' @description The ball bearings came from four different major bearing companies.
#' There was disagreement in the industry as to the appropriate parameter
#' values to use to describe the relationship between fatigue life and stress
#' loading. The main objective of the study was to estimate values of the parameters
#' in the equation relating bearing life to load.
NULL
#' Earth-moving machine maintenance
#'
#' @docType data
#' @family data-notdone
#' @name machineh
#' @format A \code{data.frame} with 573 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit type \tab \bold{Categoric}\cr
#' [, 2] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab cost \tab Price of test \tab \bold{Numeric}\cr
#' [, 4] \tab event \tab Event observed at \code{hours} (Action/End) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name mechanicalswitch
#' @format A \code{data.frame} with 37 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours\tab Accumulated time at failure \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{hours} \tab \bold{Categoric}
#' }
#' @source Nair (1994)
#' @description ####
NULL
#' Metal alloy sliding wear resistance test
#'
#' @docType data
#' @name metalwear
#' @format A \code{data.frame} with 96 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab microns \tab Specimen thickness \tab \bold{Numeric}\cr
#' [, 2] \tab unit \tab Unit designator \tab \bold{Categoric}\cr
#' [, 3] \tab cycles \tab Accumulated cycles at an observation \tab \bold{Numeric}\cr
#' [, 4] \tab grams \tab Weight applied to the test specimen \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description An experiment was conducted to test the sliding wear resistance of a particular metal alloy.
#' The data show changes in specimen thickness after being subjected to metal-to-metal sliding friction.
#' Adding weight can increase the sliding frictional forces and cause the specimen to wear more quickly.
#' A range of different weights were applied to (1) study the relationship between applied weight and wear
#' resistance and (2) gain a better understanding of the wear mechanism.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name multiplefail
#' @format A \code{data.frame} with 40 rows and 7 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 2] \tab turn_hours \tab Time of an observed turn event \tab \bold{Numeric}\cr
#' [, 3] \tab turn_event \tab Type of turn event at \code{turn_hours} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab phase_hours \tab Time of an observed phase event \tab \bold{Numeric}\cr
#' [, 5] \tab phase_event \tab Type of phase event at \code{phase_hours} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 6] \tab ground_hours \tab Time of an observed ground event \tab \bold{Numeric}\cr
#' [, 7] \tab ground_event \tab Type of ground event at \code{ground_hours} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Nelson (1990)
#' @description ####
NULL
#' Accelerated life test of a mylar-polyurethane insulating structure
#'
#' @rdname mylarpoly
#' @docType data
#' @name mylarsub
#' @format A \code{data.frame} with 46 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab minutes \tab Time to dielectric breakdown \tab \bold{Numeric}\cr
#' [, 2] \tab ratio \tab Electromagnetic field strength (in kV/mm) \tab \bold{Numeric}
#' }
#' @source Kalkanis, G., and Rosso, E. (1989),
#' The inverse power law model for the lifetime of a mylar-polyurethane laminated DC HV insulating structure,
#' Nuclear Instruments and Methods in Physics Research, \bold{A281}, 489-496.
#' @description Kalkanis and Rosso (1989) present data generated from an accelerated life test performed on a
#' special type of mylar-polyurethane insulation used in high-performance electro-magnets.
#' The data give the time to dielectric breakdown of units tested at 100.3, 122.4, 157.1,
#' 219.0, and 361.4 kV/mm. The purpose of the experiment was to evaluate the reliability
#' of the insulating structure and to estimate the life distribution at system design voltages.
NULL
#' Accelerated life test of a mylar-polyurethane insulating structure
#'
#' @rdname mylarpoly
#' @docType data
#' @name mylarpoly
#' @format A \code{data.frame} with 46 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab minutes \tab Time to dielectric breakdown \tab \bold{Numeric}\cr
#' [, 2] \tab ratio \tab Electromagnetic field strength (in kV/mm) \tab \bold{Numeric}
#' }
#' @source Kalkanis, G., and Rosso, E. (1989),
#' The inverse power law model for the lifetime of a mylar-polyurethane laminated DC HV insulating structure,
#' Nuclear Instruments and Methods in Physics Research, \bold{A281}, 489-496.
#' @description Kalkanis and Rosso (1989) present data generated from an accelerated life test performed on a
#' special type of mylar-polyurethane insulation used in high-performance electro-magnets.
#' The data give the time to dielectric breakdown of units tested at 100.3, 122.4, 157.1,
#' 219.0, and 361.4 kV/mm. The purpose of the experiment was to evaluate the reliability
#' of the insulating structure and to estimate the life distribution at system design voltages.
NULL
#' High-temp gas spring accelerated test
#'
#' @docType data
#' @family data-notdone
#' @name newspring
#' @format A \code{data.frame} with 80 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab centimeters \tab Spring stroke length \tab \bold{Numeric}\cr
#' [, 3] \tab fahrenheit \tab Temperature applied to the spring \tab \bold{Numeric}\cr
#' [, 4] \tab method \tab Manufacturing method (New/Old) \tab \bold{Categoric}\cr
#' [, 5] \tab event \tab Event observed at \code{kcycles} (Suspended/Failed) \tab \bold{Categoric}\cr
#' [, 6] \tab count \tab Number of events observed at \code{kcycles} \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. (1999) A factorial experiment to compare the lifetimes of springs as a function of a processing temperature and amount of displacement in the spring test (Unpublished)
#' @description ####
NULL
#' Accelerated test of spacecraft battery cell data
#'
#' @docType data
#' @name nicdbattery
#' @format A \code{data.frame} with 87 rows and 10 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied to the battery \tab \bold{Numeric}\cr
#' [, 2] \tab discharge_depth \tab Depth of discharge (as percent) \tab \bold{Numeric}\cr
#' [, 3] \tab discharge_time \tab Discharge time (in hours) \tab \bold{Numeric}\cr
#' [, 4] \tab charge \tab Charge time (in hours) \tab \bold{Numeric}\cr
#' [, 5] \tab recharge \tab Level of recharge \tab \bold{Numeric}\cr
#' [, 6] \tab koh_percent \tab Concentration of Potassium Hydroxide (as percent) \tab \bold{Numeric}\cr
#' [, 7] \tab koh_volume \tab Volume of Potassium Hydroxide (in cubic-centimeters) \tab \bold{Numeric}\cr
#' [, 8] \tab precharge \tab Precharge time (in hours) \tab \bold{Numeric}\cr
#' [, 9] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [,10] \tab event \tab Event observed at \code{cycles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source Brown, H. M., and Mains D. E (1979)
#' Accelerated Test Program for Sealed Nickel--Cadmium Spacecraft Batteries/Cells,
#' Technical Report WQEC/C 79-145. Available from the Department of the Navy,
#' Naval Weapons Support Center, Weapons Quality Engineering Center, Crane, IN 47522.
#' @description Brown and Mains (1979) present the results of an extensive experiment to evaluate
#' the long-term performance of rechargable nickel-cadmium battery cells that
#' were to be used in spacecraft. The study used 8 experimental factors. The
#' first five factors are environmental or accelerating factors (set to higher
#' than usual levels to obtain failure information more quickly). The other
#' three factors were product-design factors that could be adjusted in the product
#' design to optimize performance and reliability of the batteries to be manufactured.
#' The experiment ran 82 batteries, each containing 5 individual cells. Each battery
#' was tested at a combination of factor levels determined according to a central
#' composite experimental plan.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name parta
#' @format A \code{data.frame} with 60 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at failure (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab operator \tab Test operator \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. (1999) An experiment to compare the life times of units assembled by three different operators (unpublished)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @name photodetector
#' @format A \code{data.frame} with 7 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Time (in hours) at which an inspection interval began \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab Time (in hours) at which an inspection interval ended \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Weis et al. (1986)
#' @description ####
NULL
#' Tensile Fatigue Test of Polyester/Viscose Yarn
#'
#' @docType data
#' @family data-notdone
#' @rdname piccioto
#' @name piccioto
#' @format A \code{data.frame} with 797 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Length of the test specimen \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Picciotto R., (1970)
#' Tensile Fatigue Characteristics of a Sized Polyester/Viscose Yarn and Their Effect on Weaving Performance.
#' A thesis submitted to the Graduate Faculty of North Carolina State University at Raleigh in partial fulfillment of the requirements for the Degree of Master of Science.
#' Department of Textile Technology.
#' @description Picciotto includes the \code{length} and \code{kcycles} columns.
#' picciotto2 is a subset of the picciotto data set, including only the units for which \code{length = 30,60, or 90}.
#' picciotto3 mirrors picciotto2 but assumes that the test conlcuded at 100 kilocycles
NULL
#' Tensile Fatigue Test of Polyester/Viscose Yarn
#'
#' @docType data
#' @family data-notdone
#' @rdname piccioto
#' @name piccioto2
#' @format A \code{data.frame} with 797 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Length of the test specimen \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Picciotto R., (1970)
#' Tensile Fatigue Characteristics of a Sized Polyester/Viscose Yarn and Their Effect on Weaving Performance.
#' A thesis submitted to the Graduate Faculty of North Carolina State University at Raleigh in partial fulfillment of the requirements for the Degree of Master of Science.
#' Department of Textile Technology.
#' @description Picciotto includes the \code{length} and \code{kcycles} columns.
#' picciotto2 is a subset of the picciotto data set, including only the units for which \code{length = 30,60, or 90}.
#' picciotto3 mirrors picciotto2 but assumes that the test conlcuded at 100 kilocycles
NULL
#' Tensile Fatigue Test of Polyester/Viscose Yarn
#'
#' @docType data
#' @family data-notdone
#' @rdname piccioto
#' @name piccioto3
#' @format A \code{data.frame} with 797 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Length of the test specimen \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Picciotto R., (1970)
#' Tensile Fatigue Characteristics of a Sized Polyester/Viscose Yarn and Their Effect on Weaving Performance.
#' A thesis submitted to the Graduate Faculty of North Carolina State University at Raleigh in partial fulfillment of the requirements for the Degree of Master of Science.
#' Department of Textile Technology.
#' @description Picciotto includes the \code{length} and \code{kcycles} columns.
#' picciotto2 is a subset of the picciotto data set, including only the units for which \code{length = 30,60, or 90}.
#' picciotto3 mirrors picciotto2 but assumes that the test conlcuded at 100 kilocycles
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name pipelinethickness
#' @format A \code{data.frame} with 200 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Observed pipe thickness \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name pmax
#' @format A \code{data.frame} with 170 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab penid \tab Identification designator \tab \bold{Categoric}\cr
#' [, 2] \tab batch \tab Batch indicator \tab \bold{Categoric}\cr
#' [, 3] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 4] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 5] \tab sample \tab Type of sample tested \tab \bold{Categoric}\cr
#' [, 6] \tab wafer \tab Type of wafer \tab \bold{Categoric}\cr
#' [, 7] \tab pmax \tab Maximum value of p observed \tab \bold{Numeric}\cr
#' [, 8] \tab locus \tab Type of locus \tab \bold{Categoric}\cr
#' [, 9] \tab event \tab Event observed at \code{days} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @name primarybattery
#' @format A \code{data.frame} with 7 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source louis hart (1987), IEEE Rel 5-10
#' @description ####
NULL
#' Printed circuit board accelerated life test
#'
#' @docType data
#' @name printedcircuitboard
#' @format A \code{data.frame} with 140 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 5] \tab rh \tab Relative humidity applied \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q., and LuValle, M. J. (1995),
#' An accelerated life test model based on reliability kinetics,
#' Technometrics, \bold{37}, 133-146.
#' @description Meeker and LuValle (1995) give data from an accelerated life test on failure of
#' printed circuit boards. The purpose of the experiment was to study the
#' effect of the stresses on the failure-time distribution and to predict
#' reliability under normal operating conditions. More specifically, the
#' experiment was designed to study a particular failure mode - the formation
#' and growth of conductive anodic filaments between copper-plated through-holes
#' in the printed circuit boards. Actual growth of the filaments could not be
#' monitored, only failure time (defined as a short circuit) could be observed
#' directly. Special test boards were constructed for the experiment.
#'
#' The data provided here are the number of failures observed in each of a series of
#' 4-hour and 12-hour long intervals over the life-test period. This experiment resulted
#' in interval-censored data because only the interval in which each failure occurred was
#' known. Further, the data are part of the results of a much larger experiment aimed at
#' determining the effects of temperature, relative humidity, and electric field
#' on the reliability of printed circuit boards.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name prob3_5
#' @format A \code{data.frame} with 25 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kcycles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @name pulse
#' @format A \code{data.frame} with 20 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab count \tab Number of events observed at \code{pulse} \tab \bold{Numeric}\cr
#' [, 2] \tab pulse \tab Pulse level observed \tab \bold{Numeric}\cr
#' }
#' @source ####
#' @description ####
NULL
#' Car door lock transmitter replacement data
#'
#' @docType data
#' @family data-almost
#' @name r4490
#' @format A \code{data.frame} with 47 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab vin \tab Vehicle identifcation number \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (R4490/End/MEnd) \tab \bold{Categoric}\cr
#' [, 4] \tab costcount \tab What is cost count? \tab \bold{Numeric}
#' }
#' @source ####
#' @description R4490 is the code used by General Motors denoting Remote Control Door Lock Transmitter Replacement
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name repairtimes
#' @format A \code{data.frame} with 119 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Time required to complete a repair \tab \bold{Numeric}\
#' }
#' @source Meeker, W. Q., (1997) Recorded times to repair a particular kind of electronic system, without regard to failure mode (unpublished)
#' @description ####
NULL
#' Carbon-Film Resistor Accelerated Degradation Test
#'
#' @docType data
#' @name resistor
#' @format A \code{data.frame} with 116 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Observed increase in resistance \tab \bold{Numeric}\cr
#' [, 2] \tab resistor \tab Resistor type \tab \bold{Categoric}\cr
#' [, 3] \tab celsius \tab Temperature applied to \code{resistor} \tab \bold{Numeric}\cr
#' [, 4] \tab hours \tab Accumulated hours (in thousands) when \code{percent} was measured\tab \bold{Numeric}
#' }
#' @source Shiomi, H., and Yanagisawa, T. (1979),
#' On distribution parameter during accelerated life test for a carbon film resistor,
#' Bulletin of the Electrotechnical Laboratory, \bold{43}, 330-345 (in Japanese).
#' @source Suzuki, K., Maki, K., and Yokogawa, S. (1993),
#' An analysis of degradation data of a carbon film and properties of the estimators,
#' in Statistical Sciences and Data Analysis, 501-511. K. Matusita, M. Puri, and T. Hayakawa, Editors.
#' Utrecht, Netherlands: VSP.
#' @description Samples of carbon-film resistors were tested at each of three levels of temperature. At the standard
#' operating temperature of 50^{o} C, carbon-film resistors will slowly degrade. Changes in resistance
#' can cause reduced product performance or even cause system failures. The test was run at high levels
#' of temperature to accelerate the chemical degradation process and obtain degradation data more quickly.
#'
#' This dataset presents the percent change in resistance measured throughout the test,
#' while the \code{\link{resistor2}} dataset presents the absolute value of resistance measure during the test.
#' @seealso \code{\link{resistor2}}
NULL
#' Carbon-Film Resistor Accelerated Degradation Test
#'
#' @docType data
#' @name resistor2
#' @format A \code{data.frame} with 145 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab resistor \tab Resistor type \tab \bold{Categoric}\cr
#' [, 2] \tab celsius \tab Temperature applied to the resistor \tab \bold{Numeric}\cr
#' [, 3] \tab hours \tab Accumulated time when \code{resistance} was measured \tab \bold{Numeric}\cr
#' [, 4] \tab resistance \tab Resistance (ohms) observed \tab \bold{Numeric}
#' }
#' @source Shiomi, H., and Yanagisawa, T. (1979),
#' On distribution parameter during accelerated life test for a carbon film resistor,
#' Bulletin of the Electrotechnical Laboratory, \bold{43}, 330-345 (in Japanese).
#' @source Suzuki, K., Maki, K., and Yokogawa, S. (1993),
#' An analysis of degradation data of a carbon film and properties of the estimators,
#' in Statistical Sciences and Data Analysis, 501-511. K. Matusita, M. Puri, and T. Hayakawa, Editors.
#' Utrecht, Netherlands: VSP.
#' @description Samples of carbon-film resistors were tested at each of three levels of temperature. At the standard
#' operating temperature of 50^{o} C, carbon-film resistors will slowly degrade. Changes in resistance
#' can cause reduced product performance or even cause system failures. The test was run at high levels
#' of temperature to accelerate the chemical degradation process and obtain degradation data more quickly.
#'
#' The \code{\link{resistor}} dataset presents the percent change in resistance measured throughout the test,
#' while this dataset presents the absolute value of resistance measure during the test.
#' @seealso \code{\link{resistor}}
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name riverchem
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab obs \tab Observation number \tab \bold{Numeric}\cr
#' [, 2] \tab qtr \tab Quarter when observation was made (Q1-Q4) \tab \bold{Categoric}\cr
#' [, 3] \tab day \tab Day when observation was made (Monday-Friday) \tab \bold{Categoric}\cr
#' [, 4] \tab ppm \tab Observed chemical concentration (in parts-per-million) \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name rocketmotor
#' @format A \code{data.frame} with 19 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab years \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{years} (right-censored/left-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{years} \tab \bold{Numeric}
#' }
#' @source Olwell, D. H. and Sorell, A. A. (2001), Proceedings of the 2001 Annual Reliability and Maintanability Symposium.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name shelflifea
#' @format A \code{data.frame} with 112 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Initial concentration level \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab days \tab Accumulated time when \code{percent} measured \tab \bold{Numeric}\cr
#' [, 4] \tab truntime \tab Truncation time (in days) \tab \bold{Numeric}\cr
#' [, 5] \tab truntype \tab Truncation type (right-truncated) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Vehicle shock absorber failure data
#'
#' @docType data
#' @family data-almost
#' @name shockabsorber
#' @format A \code{data.frame} with 38 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilometers \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{miles} \tab \bold{Categoric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source O'Connor, P. D. T. (1985),
#' Practical Reliability Engineering (Second Edition), New York, NY; John Wiley & Sons.
#' @description O'Connor gives the failure times (in number of kilometers of use) of vehicle shock absorbers.
#' The data shows two different failure modes occurring, denoted by M1 and M2. Engineers responsible
#' for shock absorber manufacturing and reliability were interested in the distribution of kilometers
#' to failure for the individual failure modes. Engineers responsible for higher-level automobile system
#' reliability and choosing among alternative vendors were interested in the overall failure distribution
#' for the shock absorbers.
NULL
#' Life test comparing different snubber designs
#'
#' @docType data
#' @family data-almost
#' @name snubber
#' @format A \code{data.frame} with 51 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{cycles} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{cycles} \tab \bold{Numeric}\cr
#' [, 4] \tab design \tab Design type (Old/New) \tab \bold{Categoric}
#' }
#' @source Nelson, W. (1982), Applied Life Data Analysis, pg. 529, New York, NY; John Wiley \& Sons.
#' @description A snubber is a component in an electric toaster. Nelson presents data from a life
#' test comparing two different snubber designs.
#'
NULL
#' Nickel-based Superalloy Fatigue Test
#'
#' @docType data
#' @name superalloy
#' @format A \code{data.frame} with 23 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kcycles} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kcycles} \tab \bold{Numeric}\cr
#' [, 4] \tab pstress \tab Pseudo-stress applied derated \tab \bold{Numeric}\cr
#' [, 5] \tab lpstress \tab Log[pseudo-stress] (\code{ln[pstress]})The log base e transformation of the Pseudo-Stress \tab \bold{Numeric}\cr
#' [, 6] \tab lpstress2 \tab Square of log[pseudo-stress] (\code{ln[pstress]^2}) \tab \bold{Numeric}
#' }
#' @source Nelson, W. (1990),
#' Accelerated Testing: Statistical Models, Test Plans, and Data Analyses,
#' New York, NY; John Wiley \& Sons.
#' @description Nelson (1990) presents and analyzes life data from a strain-controlled, low-cycle fatigue test performed on 26 cylindrical
#' specimens of a nickel-base superalloy. Four of the specimens were removed from the test before failure.
#' In addition to recording the number of cycles to failure, the level of pseudostress (Young's modulus
#' times strain) was also measured. The initial purpose of Nelson's analysis was to estimate the curve
#' giving the number of cycles at which .1\% of the population of such specimens would fail, as a function
#' of pseudostress.
NULL
#' Electrolytic capacitor accelerated life test data
#'
#' @docType data
#' @name tantalum
#' @format A \code{data.frame} with 48 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab volts \tab Voltage applied to the unit \tab \bold{Numeric}\cr
#' [, 5] \tab celsius \tab Temperature applied to the unit \tab \bold{Numeric}
#' }
#' @source Singpurwalla, N. D., Castellino, V. C., and Goldschen, D. Y. (1975),
#' Inference from accelerated life tests using Eyring type re-parameterizations,
#' Naval Research Logistics Quarterly, \bold{22}, 289-296.
#' @description Singpurwalla, Castellino, and Goldschen (1975) present temperature/voltage accelerated life test data on tantalum
#' electrolytic capacitors. The tests were conducted at temperature/voltage combinations that were nonrectangular
#' and with unequal allocations of units.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name testdadtplan
#' @format A \code{data.frame} with 9 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied to the unit \tab \bold{Numeric}\cr
#' [, 2] \tab days \tab Event time \tab \bold{Numeric}\cr
#' [, 3] \tab count \tab Number of units tested \tab \bold{Categoric}
#' }
#' @source Shimokawa, T., and Hamaguchi, Y. (1987), Statistical Evaluation of Fatigue Life and Fatigue Strength in Circular-Holed Notched Specimens of a Carbon Eight-Harness-Satin/Epoxy Laminate,'' in Statistical Research on Fatigue and Fracture (Current Japanese Materials Research, Vol. 2), eds. T. Tanaka, S. Nishijima, and M. Ichikawa, London: Elsevier, pp. 159-176.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name titanium
#' @format A \code{data.frame} with 96 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab strain \tab Strain measured at \code{kilocycles} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q., Escobar L.A., and Lu (1998)
#' @description ####
NULL
#' Titanium fatigue crack growth data
#'
#' @docType data
#' @family data-notdone
#' @name titanium2
#' @format A \code{data.frame} with 10 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{cycles} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{cycles} \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @source Hudak, S.J., Saxena, A., Bucci, R. J., and Malcom, R .C. (1978),
#' Development of standard methods of testing and analyzing fatigure crack growth rate data,
#' Technical Report AFML-TR-78-40, Westinghouse R & D Center, Westinghouse Electric Corporation, Pittsburgh, PA.
#' @description A sample of 100 specimens of a titanium alloy were subjected to a fatigue test to determine time
#' to crack initiation. The test was run up to a limit of 100,000 cycles. The observed number of cycles to crack
#' initiation (in units of 1,000 of cycles) were: 18, 32, 39, 53, 59, 68, 77, 78, 93. No crack had initiated in
#' any of the other 91 other specimens prior to reaching 100,000 cycles.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name tractorbreaks
#' @format A \code{data.frame} with 107 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at failure \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name tree25years
#' @format A \code{data.frame} with 29 rows and 1 variable:
#' \tabular{rlll}{
#' [, 4] \tab meters \tab Annual growth in tree height \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' Turbine wheel crack initiation data
#'
#' @docType data
#' @name turbine
#' @format A \code{data.frame} with 21 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated hours (in hundreds) at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (right-censored/left-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Nelson, W. (1982) Applied Life Data Analysis, New York, NY: John Wiley \& Sons.
#' @description Nelson (1982) describes a study to estimate the
#' distribution of time to crack initiation for turbine
#' wheels. Each of 432 wheels were inspected once to
#' determine if it had started to crack or not. At the
#' time of the inspections, the wheels had different
#' amounts of service time (age). A unit found to be
#' cracked at its inspection was labelled as left-censored
#' at its age (because the crack had initiated at some
#' unknown point before its inspection age). A unit found
#' to be uncracked at its inspection was labelled as
#' right-censored at its age (because a crack would be
#' initiated at some unknown point after that age).
#' The data show the number of cracked and uncracked
#' wheels in different age categories, showing the midpoint
#' of the time interval given by Nelson. The data were
#' put into intervals to facilitate simpler analyses.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name turbinedevice
#' @format A \code{data.frame} with 50 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab cycles \tab Accumulated cycles (in millions) at failure \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{mcycles} (Crack/Fixture) \tab \bold{Categoric}
#' }
#' @source Unpublished Meeker (1999)
#' @description ####
NULL
#' Transmitter vacuum tube life test data
#'
#' @docType data
#' @name v7tube
#' @format A \code{data.frame} with 5 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Davis, D. J. (1952) An analysis of some failure data,
#' Journal of the American Statistical Association, \bold{47}, 113-150.
#' @description Although solid-state electronics have made vacuum tubes obsolete for most applications, such tubes are still
#' widely used in the output stage of high-power transmitters. Davis (1952) presents life data for a certain kind
#' of transmitter vacuum tube (designated as "V7" within a particular transmitter design). For this dataset, and in
#' many practical situations, the exact failure times were not reported. Instead the data only contain the number of
#' failures observed within each inspection interval.
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name v805tube
#' @format A \code{data.frame} with 18 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Davis, D. J. (1952) An analysis of some failure data,
#' Journal of the American Statistical Association, \bold{47}, 113-150.
#' @description ####
NULL
#' Diesel engine valve seat data
#'
#' @docType data
#' @name valveseat
#' @format A \code{data.frame} with 89 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab engine \tab Designator code specifying each engine under test \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (replacement/end) \tab \bold{Categoric}\cr
#' }
#' @source Nelson, W. and Doganaksoy, N. (1989)
#' A computer program for an estimate and confidence limits for the mean cumulative function for cost or number of repairs of
#' repairable products,
#' TIS report 89CRD239, General Electric Company Research and Development, Schenectady, NY.
#' @source Nelson, W. (1995) Confidence limits for recurrence data - applied to cost or number of product repairs,
#' Technometrics, \bold{37}, 147-157.
#' @description Nelson and Doganaksoy report the age when a valve seat replacement occurred across a fleet of 41 diesel
#' engines. For each engine, the number of days when a replacement event occured were recorded along with the number of
#' days when the observational period ended. The data were recorded to answer the following questions:
#' \describe{
#' {1}{Does the replacement rate increased with age?}
#' {2}{How many replacement valves will be needed in some future period of time?}
#' {3}{Can valve life in these systems be modeled as a superimposed renewal process?}
#' }
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name vehiclemotor
#' @format A \code{data.frame} with 43 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name voltageendurance
#' @format A \code{data.frame} with 58 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (ProcessDefect/Degradation/Right-censored) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name workstation
#' @format A \code{data.frame} with 12 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab station \tab Station where \code{event} was observed \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (report/end) \tab \bold{Categoric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' Glass capacitor accelerated life test data
#'
#' @docType data
#' @name zelencap
#' @format A \code{data.frame} with 40 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 5] \tab volts \tab Electrical power applied \tab \bold{Numeric}
#' }
#' @source Zelen, M. (1959) Factorial experiments in life testing, Technometrics, \bold{1}3, 269-288
#' @description Zelen describes an accelerated life test performed on glass capacitors at higher than usual levels of
#' temperature and voltage. The data were obtained from a factorial experiment in which eight capacitors were tested
#' at each combination of temperature and voltage. For each combination, the test was terminated after the fourth failure
#' was observed, yielding failure (Type II) censored data.
NULL
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#' Adhesive bonded power element test
#'
#' @docType data
#' @name adhesivebondc
#' @family data-notdone
#' @format A \code{data.frame} with 336 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied to the bond \tab \bold{Numeric}\cr
#' [, 2] \tab rh \tab Relative humidity applied to the bond \tab \bold{Numeric}\cr
#' [, 3] \tab days \tab Time the bond was under load \tab \bold{Numeric}\cr
#' [, 4] \tab pounds \tab Load at which the bond failed \tab \bold{Numeric}
#' }
#' @source ####
#' @description How do pounds and days work together? Two responses? Constant strain?
NULL
#' Accelerated adhesive creep test
#'
#' @docType data
#' @name adhesivestrength
#' @family data-notdone
#' @format A \code{data.frame} with 89 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab pounds \tab Load at which the adhesive failed \tab \bold{Numeric} \cr
#' [, 2] \tab celsius \tab Temperature applied to the bond \tab \bold{Numeric}\cr
#' [, 3] \tab days \tab Time the bond was under load \tab \bold{Numeric}\cr
#' [, 4] \tab group \tab Type of adhesive\tab \bold{Categoric}
#' }
#' @source Beckwith, J.P. (1980), An estimator and design techinque for the estimation of a rate parameter in accelerated testing. Department of Mathematics and Computer Science, Michigan Technological University, Houghton, MI.
#' @description ####
NULL
#' Fatigue crack growth in an unknown metallic alloy.
#'
#' @docType data
#' @name alloya
#' @format A \code{data.frame} with 262 rows and 3 variables
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Crack length observed at \code{megacycles} \tab \bold{Numeric}\cr
#' [, 2] \tab specimen \tab Test specimen designator \tab \bold{Categoric}\cr
#' [, 3] \tab megacycles \tab Number of fatigue cycles (in millions) when \code{length} was inspected \tab \bold{Numeric}
#' }
#' @source Hudak, S.J., Saxena, A., Bucci, R. J., and Malcom, R .C. (1978),
#' Development of standard methods of testing and analyzing fatigure crack growth rate data,
#' Technical Report AFML-TR-78-40, Westinghouse R & D Center, Westinghouse Electric Corporation, Pittsburgh, PA.
#' @source Bogdanoff, J. L. and Kozin, F. (1985), Probablistic Models of Cumulative Damage, New York, NY; John Wiley & Sons.
#' @description Twenty-one specimens of an unknown alloy were subjected
#' to the same cyclic load profile. Prior to testing, an initial crack
#' (length = 0.9 in) was cut into each specimen to serve as a crack
#' nucleation site. After each increment of 10,000 fatigue cycles the length
#' of the crack was recorded. A specimen was considered to have failed when
#' the crack length exceeded 1.6 inches, otherwise the test concluded after 1.2 million
#' cycles.
NULL
#' Metal alloy tensile strength test
#'
#' @docType data
#' @name alloyc
#' @format A \code{data.frame} with 9 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab ksil \tab Lower limit of the stress interval \tab \bold{Numeric}\cr
#' [, 2] \tab ksiu \tab Upper limit of the stress interval \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (interval-censored)\tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval\tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A., Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons. \bold{276}
#' @description These data resulted from a test that was conducted to obtain information on the strength of an alloy produced by
#' an alternate process. The designation for the alloy was not provided and is only referred to as "Alloy C". Specimens
#' of the alloy were subjected to different levels of constant stress, measured in ksi (1 ksi = 1000 psi). The data set
#' includes the number of failed specimens observed in each interval of applied stress.
NULL
#' AMSAA reliability growth test
#'
#' @rdname AMSAA
#' @docType data
#' @family data-notdone
#' @name amsaaexactfail
#' @format A \code{data.frame} with 725 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab vehicle \tab Vehicle type \tab \bold{Categoric}\cr
#' [, 2] \tab miles \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (Start/Fail/End) \tab \bold{Categoric}
#' }
#' @source Lieblein J., and Zelen, M. (1956), Statistical investigation of the fatigue life of deep-groove ball bearings, Journal of Research, National Bureau of Standards, 57, 273--316.
#' @description ####
NULL
#' AMSAA reliability growth test
#'
#' @rdname AMSAA
#' @docType data
#' @family data-notdone
#' @name amsaawindow1
#' @format A \code{data.frame} with 725 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab vehicle \tab Vehicle type \tab \bold{Categoric}\cr
#' [, 2] \tab miles \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (Start/Fail/End) \tab \bold{Categoric}
#' }
#' @source Lieblein J., and Zelen, M. (1956), Statistical investigation of the fatigue life of deep-groove ball bearings, Journal of Research, National Bureau of Standards, 57, 273--316.
#' @description ####
NULL
#' AMSAA reliability growth test
#'
#' @rdname AMSAA
#' @docType data
#' @family data-notdone
#' @name amsaawindow2
#' @format A \code{data.frame} with 725 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab vehicle \tab Vehicle type \tab \bold{Categoric}\cr
#' [, 2] \tab miles \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (Start/Fail/End) \tab \bold{Categoric}
#' }
#' @source Lieblein J., and Zelen, M. (1956), Statistical investigation of the fatigue life of deep-groove ball bearings, Journal of Research, National Bureau of Standards, 57, 273--316.
#' @description ####
NULL
#' Appliance cord failures
#'
#' @docType data
#' @family data-notdone
#' @name appliancea
#' @format A \code{data.frame} with 36 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab type \tab Appliance type \tab \bold{Categoric}
#' }
#' @source Nelson W. (1982), Applied Life Data Analysis, New York: John Wiley & Sons, pg 121
#' @description ####
NULL
#' Appliance-B failures (multiple data sources)
#'
#' @docType data
#' @family data-notdone
#' @name applianceb
#' @format A \code{data.frame} with 398 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab source \tab Information source (test environment) \tab \bold{Categoric}\cr
#' [, 2] \tab event \tab Event observed at \code{days} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{time} \tab \bold{Numeric} \cr
#' [, 4] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 5] \tab mode \tab Failure mode observed at \code{days} \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Herbicide concentration test
#'
#' @docType data
#' @family data-notdone
#' @name atrazinejune
#' @format A \code{data.frame} with 24 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Atrazine concentration \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{percent} (failed/left-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name aprel72
#' @format A \code{data.frame} with 25 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab hoursl \tab Start of observation interval \tab \bold{Numeric}\cr
#' [, 2] \tab hoursu \tab End of observation interval \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric} \cr
#' [, 5] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998), Statistical Methods for Reliability Data
#' @description ####
NULL
#' Fatigue life test (alloy T7987)
#'
#' @docType data
#' @name at7987
#' @format A \code{data.frame} with 68 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kilocycles} \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description A test was conducted to assess the fatigue life of an alloy,
#' designated as T-7987. In this test, 72 specimens were subjected
#' to an unreported load spectrum. The number of cycles at which a
#' specimen failed was recorded (rounded to the nearest thousand cycles).
#' Of the 72 units tested, 67 units failures were observed and 5 units were right
#' censored at 300 kilocycles.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson20
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson200
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson2000
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' \eqn{\alpha}-particle emissions of Americurium-241
#'
#' @docType data
#' @name berkson10220
#' @rdname berkson
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval (in 1/5000 seconds) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Berkson, J. (1966), Examination of randomness of alpha-particle emissions,
#' in Festschrift for J. Neyman, Research Papers in Statistics, F. N. David, Editor,
#' New York, NY; John Wiley & Sons
#' @description Berkson investigated the randomness of alpha-particle
#' emissions of Americium-241 (which has a half-life of about 458 years).
#' Physical theory suggests that, over a short period of time, the
#' interarrival times of observed particles would be independent and come
#' from an exponential distribution where the rate parameter is the mean
#' time between arrivals. The corresponding homogeneous Poisson process that
#' counts the number of emissions on the real-time line has arrival rate or
#' the intensity lambda=1/theta. The data consist of 10,220 observed interarrival
#' times of alpha particles (time unit equal to 1/5,000 second). The observed
#' interarrival times were put into intervals (or bins) running from 0 to 4,000
#' time units with interval lengths ranging from 25 to 100 time units, with one
#' additional interval for observed times exceeding 4,000 time units. To save space,
#' this example uses a smaller number of larger bins; reducing the number of bins in
#' this way will not seriously affect the precision of ML estimates.
NULL
#' Yokobori fatigue-fracture test
#'
#' @docType data
#' @name bkfatigue10
#' @format A \code{data.frame} with 63 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at failure (in thousands) \tab \bold{Numeric}
#' }
#' @source Bogdanoff, J.,L. and Kozin, F. (1985) Probablistic Models of Cumulative Damage, pp. 224-225,
#' New York, NY; John Wiley & Sons.
#' @source Yokobori, T. (1951) Fatigue fracture in steel, Journal of the Physical Society of Japan, \bold{6}, 81-86.
#' @description Yokobori describes a fatigue-fracture test on 0.41\% carbon steel cylindrical specimens, tested at
#' \eqn{\pm 37.1 kg/mm^2} stress amplitude.
NULL
#' Bleed system reliability data
#'
#' @docType data
#' @name bleed
#' @format A \code{data.frame} with 60 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab base \tab Base where observation was made \tab \bold{Categoric}
#' }
#' @source Abernethy, R. B., Breneman, J. E., Medlin, C. H., and Reinman, G. L., (1983)
#' Weibull Analysis Handbook, Air Force Wright Aeronautical Laboratories Technical Report AFWAL-TR-83-2079
#' @description Abernethy, Breneman, Medlin, and Reinman give failure and
#' running times for 2256 bleed systems operating at several
#' geographically separated bases. They observed a change in
#' the probability plot before and after 600 of operation.
#' Further examination showed that 9 of the 19 failures occurred
#' at Base 'D'. Separate analyses of the Base D data and the data
#' from the other bases indicated different life distributions.
#' The large slope for Base D indicated strong wearout behavior.
#' The relatively small slope for the other bases suggested infant
#' mortality or accidental failures. After investigation it was
#' determined that the early-failure problem at base D was caused by
#' salt air (Base D was near the ocean). A change in maintenance
#' procedures there solved the dominant bleed system reliability problem.
NULL
#' Light bulb failure test
#'
#' @docType data
#' @family data-notdone-source-desc
#' @name bulb
#' @format A \code{data.frame} with 417 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at failure \tab \bold{Numeric}
#' }
#' @source Davis, D. J. (1952), An analysis of some failure data, Journal of the American Statistical Association, 47,113-150.
#' @description ####
NULL
#' Large system bearing cage fracture test
#'
#' @docType data
#' @name bearingcage
#' @description Ball bearing assembly failure data
#' @format A \code{data.frame} with 25 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Abernethy, R. B., Breneman, J. E., Medlin, C. H., and Reinman, G. L. (1983)
#' Weibull Analysis Handbook, Air Force Wright Aeronautical Laboratories Technical Report AFWAL-TR-83-2079
#' @description The service life requirement for a ball bearing assembly was specified
#' such that \eqn{t_{0.1}}{t[0.1]} (aka the B10 life) be greater that 8000 hours.
#' Analysts were concerned that the design of the bearing cage in this assembly
#' was inadequate and could lead to premature failures during service.
#' Service times were collected for 1703 assemblies that were introduced into
#' service over time. The analysts wanted to use the service life data to
#' determine if a redesign was needed to ensure that the units could meet the
#' service life requirement. Management was also interested in determining the
#' number of additional failures that could be expected over the next year
#' for the population of assemblies already in service.
#' @details Bearing cages are used in ball bearing assemblies to ensure that the
#' ball bearings do not drift out of position relative to the other ball
#' bearings during use.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name bearinga
#' @format A \code{data.frame} with 5 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kilocycles} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kilocycles} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name censortruncationtest
#' @format A \code{data.frame} with 16 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval in hours \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval in hours \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab trun_lower \tab Start of a truncation interval in hours \tab \bold{Numeric}\cr
#' [, 5] \tab trun_upper \tab End of a truncation interval in hours \tab \bold{Numeric}\cr
#' [, 6] \tab trun_event \tab Truncation type observed (right/left/interval/exact) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Rolling contact fatigue of ceramic ball bearings
#'
#' @docType data
#' @name ceramicbearing
#' @format A \code{data.frame} with 69 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{kilocycles} \tab \bold{Categoric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed at \code{kilocycles} \tab \bold{Numeric}\cr
#' [, 5] \tab kilonewtons \tab Applied stress (in thousands) \tab \bold{Numeric}
#' }
#' @source McCool, J. I. (1980),
#' Confidence limits for Weibull regression with censored data,
#' IEEE Transactions on Reliability, \bold{R-29}, 145-150.
#' @description McCool gives the results of a rolling contact fatigue test of ceramic
#' ball bearings. Ten specimens were tested across four levels of stress
#' measured in kilo-Newtons (1 kN = 1000 N).
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name chemicalprocess
#' @format A \code{data.frame} with 100 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Chemical concentration observed \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name cirpack4
#' @format A \code{data.frame} with 38 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval in days \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval in days \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' Circuit pack vendor comparison
#'
#' @docType data
#' @family data-notdone
#' @name cirpack5
#' @format A \code{data.frame} with 41 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{days} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{days} \tab \bold{Numeric} \cr
#' [, 4] \tab vendor \tab Producing vendor \tab \bold{Categoric}\cr
#' }
#' @source Hooper, J.H. and Amster, S.J. (1990) Analysis and presentation of reliability data in Handbook of Statistical Methods for Engineers and Scientists, Harrison M. Wadsworth, editor. New York: McGraw Hill
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name componentd
#' @format A \code{data.frame} with 24 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab months \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{months} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{months} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' Computer program execution time data
#'
#' @docType data
#' @name comptime
#' @format A \code{data.frame} with 17 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab users \tab Number of users \tab \bold{Numeric}\cr
#' [, 2] \tab load \tab System load \tab \bold{Numeric}\cr
#' [, 3] \tab seconds \tab Execution time observed at \code{load} \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Meeker and Escobar report the amount of time required for a Unix computer
#' to execute a particular computer program on a multiuser computer system.
#' The response (execution) times are a function of the total
#' system load, which was obtained using the Unix \code{uptime}
#' command.
NULL
#' Computer lab reliability data
#'
#' @docType data
#' @name computerlab
#' @format A \code{data.frame} with 101 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab computer \tab Designation code for the computer \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (Repair/End) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description A small un-monitored computer laboratory contains 10 networked
#' microcomputers. Users who notice a hardware or software problem with
#' a computer are supposed to report the problem to a technician who
#' will fix the problem. This data set includes the days in which trouble
#' calls were received, for each computer. Most of the trouble
#' reports were easy to address (replace a defective mouse, reboot
#' the computer, remake the computer's file system from the server, remove
#' stuck floppy disk, tighten loose connector, etc.). All of the computers
#' were in operation for the entire semester (day 1 through 105).
NULL
#' Concrete fatigue-life test
#'
#' @docType data
#' @family data-notdone
#' @name concrete
#' @format A \code{data.frame} with 75 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab ratio \tab Stress ratio \code{max(tensile stress)/max(compressive stress)} \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles (in thousands) \tab \bold{Numeric}
#' }
#' @source Castillo, E. and Hadi, Ali S., (1995)
#' Modeling lifetime data with application to fatigue models,
#' Journal of the American Statistical Association, \bold{90}, 1041-1054
#' @description ####
NULL
#' Circuit pack field tracking study
#'
#' @docType data
#' @name cirpack6
#' @format A \code{data.frame} with 27 rows and 7 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an observation interval \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an observation interval \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab truntype \tab Truncation type (left-truncated/right-truncated/interval-truncated) \tab \bold{Categoric}\cr
#' [, 5] \tab truntime \tab Truncation time \tab \bold{Numeric}\cr
#' [, 6] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 7] \tab vendor \tab Producing vendor \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998), Statistical Methods for Reliability Data, New York, NY; Wiley-Interscience
#' @description Circuit packs were manufactured to the same design
#' specification, but by two different vendors. The
#' trial ran for 10,000 hours to determine which vendor's
#' circuit packs were more reliable. The 4993 circuit packs
#' from Vendor 1 came straight from production.
#' The 4993 circuit packs from Vendor 2 had already seen 1000
#' hours of burn-in testing at the manufacturing plant under
#' operating conditions similar to those in the field trial.
#' The circuit packs manufactured by Vendor 2 were sold at a
#' higher price because field reliability was supposed to have
#' been improved by the burn-in screening of circuit packs
#' containing defective components. Failures during the first
#' 1000 hours of burn-in were not recorded. This is the reason
#' for the unknown entries in the table and for having information
#' out to 11,000 hours for Vendor 2. The data are for the first
#' failure in a position. Information on circuit packs replaced
#' after initial failure in a position was not part of the study.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name connectionstrength
#' @format A \code{data.frame} with 14 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab strength \tab Strength (in ???) of the connection \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{strength} \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of failures observed at \code{strength}\tab \bold{Numeric}
#' }
#' @source Nelson W. (1984), Applied Life Data Analysis, New York: John Wiley & Sons, pg. 111.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name customerlife
#' @format A \code{data.frame} with 117 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{days} (failure/right-censored/left-censored/interval-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Diesel engine cylinder replacements
#'
#' @docType data
#' @name cylinder
#' @format A \code{data.frame} with 276 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab engine \tab Type of engine used \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{days} \tab \bold{Numeric}\cr
#' [, 4] \tab event \tab Event observed at \code{days} (Replacement/End) \tab \bold{Categoric}
#' }
#' @source Nelson and Doganaksoy (1989),
#' A computer program for an estimate and confidence limits for the mean cumulative function for cost or number of repairs of repairable products,
#' TIS report 89CRD239, General Electric Company Research and Development, Schenectady, NY
#' @description Nelson and Doganaksoy present data on cylinder replacement times for 120 diesel engines.
#' We take these engines to be a sample from a larger population of engines. Each engine has 16 cylinders.
#' @details Cylinders in a type of diesel engine can develop leaks or have low compression.
#' Cylinders are inspected at times of convenience, along with other usual engine maintenance operations.
#' Faulty cylinders are replaced by a rebuilt cylinder. More than one cylinder could be replaced at an inspection.
#' Management needed to know if the company should perform preventive replacement of cylinders before they develop
#' low compression failures.
NULL
#' Temperature-accelerated life test data
#'
#' @docType data
#' @name devicea
#' @format A \code{data.frame} with 37 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied to the device during testing \tab \bold{Numeric}
#' }
#' @source Hoopers J. H. and Amster, S. J. (1990)
#' Analysis and presentation of reliability data, in Handbook of Statistical Methods for Engineers and Scientists,
#' McGraw-Hill, New York. Harrison M. Wadsworth, Editor.
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York: John Wiley & Sons.
#' @description Hooper and Amster (1990) analyze the temperature-accelerated life test data on an unidentified device. Meeker
#' and Escobar (1998) refer to this device as "Device A". The purpose of the experiment was to determine if "Device A"
#' would meet a failure rate objective through 10,000 hours and 30,000 hours at an operating ambient temperature of
#' 10 degrees celsius. Device samples were tested for up to 5000 hours at four separate temperatures.
NULL
#' Power output degradation in integrated circuit devices
#'
#' @docType data
#' @name deviceb
#' @format A \code{data.frame} with 570 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab powerdrop \tab Degradation (measured in decibels dB) of a device under test \tab \bold{Numeric}\cr
#' [, 2] \tab device \tab Label for the device under test \tab \bold{Categoric}\cr
#' [, 3] \tab hours \tab Time at which the degradation measure was observed \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York: John Wiley & Sons.
#' @description Samples of integrated circuit devices called "Device B" were tested at each of three levels of junction temperature.
#' The purpose of the test was to provide design engineers with an assessment of the proportion of these devices that
#' would "fail" before 15 years (about 130 thousand hours) of operation at 80 degrees celsius. Failure for an individual
#' device was defined as when the measured power output dropped more than 0.5 decibels (dB) below initial output. At
#' standard the operating temperature (80 degrees celsius), the devices will degrade too slowly to provide useful
#' information in 6 months. Because units at low temperature degrade more slowly, they had to be run for longer periods
#' of time to accumulate appreciable degradation. Because of severe limitations in the number of test positions, fewer
#' units were run at lower temperatures.
#'
#' Note: The original data from this experiment are proprietary. The observations in this dataset were actually simulated
#' from a model suggested by physical theory and limited real data that was available at the time when the more complete
#' experiment was being planned.
NULL
#' Integrated circuit accelerated life test data
#'
#' @docType data
#' @name devicec
#' @format A \code{data.frame} with 26 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature to which a device was exposed during the test \tab \bold{Numeric}\cr
#' [, 2] \tab kilohours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Observations from an accelerated life test performed on an integrated circuit device called "Device C". Failures
#' were caused by a chemical reaction inside the circuit package. Reliability engineers tested 10 circuits at five
#' different temperatures over a period of 3000 hours. The purpose of the experiment was to estimate the activation
#' energy of the failure-causing reaction and to obtain an estimate of the integrated circuit life distribution at
#' an 80 degrees celsius junction temperature.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @rdname deviced
#' @name devicedconnected
#' @format A \code{data.frame} with 986 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Failure time \tab \bold{Numeric}\cr
#' [, 2] \tab cycles \tab Total accumulated cycles at failure \tab \bold{Numeric}\cr
#' [, 3] \tab causeoffailure.fm1 \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab causeoffailure.fm2 \tab Start time (in hours) of an inspection interval \tab \bold{Numeric}\cr
#' [, 5] \tab causeoffailure.fm3 \tab Time (in hours) at which an interval ends \tab \bold{Numeric}\cr
#' [, 6] \tab causeoffailure.fmother \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 7] \tab perweek \tab Average number of cycles (across all users) \tab \bold{Numeric}\cr
#' [, 8] \tab weeksinserted \tab Time inserted into service \tab \bold{Numeric}\cr
#' [, 9] \tab weeksreturned \tab Time return to manufacturer \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @rdname deviced
#' @name devicednotconnected
#' @format A \code{data.frame} with 986 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Failure time \tab \bold{Numeric}\cr
#' [, 2] \tab cycles \tab Total accumulated cycles at failure \tab \bold{Numeric}\cr
#' [, 3] \tab causeoffailure.fm1 \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab causeoffailure.fm2 \tab Start time (in hours) of an inspection interval \tab \bold{Numeric}\cr
#' [, 5] \tab causeoffailure.fm3 \tab Time (in hours) at which an interval ends \tab \bold{Numeric}\cr
#' [, 6] \tab causeoffailure.fmother \tab Type of event observed (failure, right-censored, left-censored, or interval-censored) \tab \bold{Categoric}\cr
#' [, 7] \tab perweek \tab Average number of cycles (across all users) \tab \bold{Numeric}\cr
#' [, 8] \tab weeksinserted \tab Time inserted into service \tab \bold{Numeric}\cr
#' [, 9] \tab weeksreturned \tab Time return to manufacturer \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' Field tracking study with multiple failure modes
#'
#' @docType data
#' @name deviceg
#' @format A \code{data.frame} with 30 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at failure (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{kcycles} (Wearout/Surge/Suspension) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Thirty (30) samples of a device that was part of a power generation system were tested as part of a field tracking study
#' for up to 300 kilocycles. The devices under test were installed in typical service environments and at the occurence
#' of a failure, the observed number of cycles and the type of failure were recorded.
#' Surge failures, which predominated early in the device life-cycle, were caused by an accumulation of randomly occurring
#' damage from power-line voltage spikes during electric storms resulting in failure of a particular unprotected electronic
#' component. Wearout failures resulted from normal product wear and began to appear after 100 thousand cycles of use.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name deviceh
#' @format A \code{data.frame} with 38 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kcycles} (failed/survived) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kcycles} \tab \bold{Numeric}
#' }
#' @source Doganaksoy N., Hahn, G. J., and Meeker, W. Q. (2000), Product life analysis: a case study, Quality Progress, June 2000.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name devicen
#' @format A \code{data.frame} with 24 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab months \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{months} (right-censored/left-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab counts \tab Number of events observed at \code{months} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name diskber
#' @format A \code{data.frame} with 80 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab rate \tab Observed error rate of \code{disk} \tab \bold{Numeric}\cr
#' [, 2] \tab disk \tab Disk type (1 - 16) \tab \bold{Categoric}\cr
#' [, 3] \tab hours \tab Event time \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied to \code{disk} \tab \bold{Numeric}
#' }
#' @source Murray, W. P. (1993),
#' Archival life expectancy of 3M-magneto-optic media,
#' Journal of the Magnetics Society of Japan \bold{17}, Supplement S1, 309-314.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name doatrun
#' @format A \code{data.frame} with 48 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval \tab \bold{Numeric}\cr
#' [, 3] \tab censor \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric} \cr
#' [, 5] \tab truntime \tab Truncation time \tab \bold{Numeric}\cr
#' [, 6] \tab truntype \tab Truncation type \tab \bold{Categoric}
#' }
#' @source ####
#' @description data truncated because of burn-in and removal of an unknown number of DOAs
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name electromech
#' @format A \code{data.frame} with 9 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in months) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in months) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Hahn and Meeker (1982a)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name engineemissions
#' @format A \code{data.frame} with 16 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab emissions \tab ##### \tab \bold{Numeric}
#' }
#' @source Meeker W.Q., Escobar L.A., and Lu (1998)
#' @description ####
NULL
#' NIST epoxy weathering test
#'
#' @docType data
#' @family data-notdone
#' @name epoxyweathering
#' @format A \code{data.frame} with 209 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab spec \tab Type of epoxy tested \tab \bold{Categoric}\cr
#' [, 2] \tab dosage \tab ##### \tab \bold{Numeric}\cr
#' [, 3] \tab damage \tab ##### \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' Diesel generator fan failures
#'
#' @docType data
#' @name fan
#' @format A \code{data.frame} with 37 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Nelson, W. (1982), Applied Life Data Analysis, pg 133, New York, John Wiley & Sons Inc.
#' @description Failures in 12 of 70 generator fans were reported at times ranging between 450 hours and 8,750 hours.
#' Of the 58 units that did not fail, the reported running times (i.e., censoring times) ranged between
#' 460 and 11,500 hours. Different fans had different running times because units were introduced into
#' service at different times and because their use-rates differed.
NULL
#' Wire filament test design data
#'
#' @docType data
#' @family data-notdone
#' @name filament
#' @format A \code{data.frame} with 6 rows and 7 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 2] \tab volts \tab Electrical power applied \tab \bold{Numeric}\cr
#' [, 3] \tab weeks1 \tab Number of units tested for one week \tab \bold{Categoric}\cr
#' [, 4] \tab weeks2 \tab Number of units tested for two weeks \tab \bold{Categoric}\cr
#' [, 5] \tab weeks5 \tab Number of units tested for five weeks \tab \bold{Categoric}\cr
#' [, 6] \tab weeks10 \tab Number of units tested for ten weeks \tab \bold{Categoric}\cr
#' [, 7] \tab weeks20 \tab Number of units tested for twenty week \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Gallium-Arsenic Laser Degradation Test
#'
#' @docType data
#' @name gaaslaser
#' @format A \code{data.frame} with 255 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab increase \tab Percent increase in observed operating current \tab \bold{Numeric}\cr
#' [, 2] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 3] \tab hours \tab Accumulated time when \code{increase} was measured \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description Over the life of some lasers devices, degradation causes
#' a decrease in light output. In this test, a feedback mechanism was used
#' to maintain a constant light output by increasing the operating current.
#' Fifteen GaAs laser devices were tested at an elevated temperature of
#' 80^{o} C to accelerate the degradation process. The operating current
#' was measured in 250-hour intervals and the data were recorded as the
#' percent increase in current compared to the initial operating current
#' measured when the test began. A device was considered to have failed
#' if the percent increase reached 10\%.
NULL
#' Unscheduled maintenance actions for the U.S.S. Grampus
#'
#' @docType data
#' @name grampus
#' @format A \code{data.frame} with 57 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit type \tab \bold{Categoric}\cr
#' [, 2] \tab kilohours \tab Accumulated hours at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{khours} (Repair/End) \tab \bold{Categoric}
#' }
#' @source Lee, L. (1980)
#' Testing adequacy of the Weibull and loglinear rate models for a Poisson Process,
#' Technometrics, 22, 195-199
#' @source Ascher, H. and Feingold, H. (1984), Repairable Systems Reliability, New York, NY; Marcel Dekker
#' @description Lee (1980) presents a dataset containing the times (in thousands of operating hours) of unscheduled maintenance actions on the
#' number 4 diesel engine of the U.S.S. Grampus. The data contain observations of maintenance actions for the first 16,000 hours of operation.
#' The observations in this dataset should be treated as is they were observed from a single system, since information as
#' to which component in the engine failed was not included. The unscheduled maintenance actions were caused by either system
#' failures or by events that indicated that a system failure was imminent. Such maintenance actions are inconvenient and
#' expensive.
NULL
#' Locomotive braking grid replacements
#'
#' @docType data
#' @family data-done
#' @rdname grids
#' @name grids1
#' @format A \code{data.frame} with 39 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (Replacement/End) \tab \bold{Categoric}
#' }
#' @source Doganaksoy, N., and Nelson, W. (1991) A method and computer program MCFDIFF to compare two samples of repair data,
#' TIS Report 91CRD172, General Electric Company Research and Development, Schenectady, NY.
#' @description Age of locomotives when either their braking grids were replaced or the largest age observed for each locomotive
#' @details Two batches \code{grids1} & \code{grids2}
NULL
#' Locomotive braking grid replacements
#'
#' @docType data
#' @family data-done
#' @rdname grids
#' @name grids2
#' @format A \code{data.frame} with 39 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (Replacement/End) \tab \bold{Categoric}
#' }
#' @source Doganaksoy, N., and Nelson, W. (1991) A method and computer program MCFDIFF to compare two samples of repair data,
#' TIS Report 91CRD172, General Electric Company Research and Development, Schenectady, NY.
#' @description Age of locomotives when either their braking grids were replaced or the largest age observed for each locomotive
#' @details Two batches \code{grids1} & \code{grids2}
NULL
#' Unscheduled maintenance actions for the U.S.S. Halfbeak
#'
#' @docType data
#' @name halfbeak
#' @format A \code{data.frame} with 73 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit designator code \tab \bold{Categoric}\cr
#' [, 2] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{hours} (Start/Report/End) \tab \bold{Categoric}
#' }
#' @source Ascher, H. and Feingold, H. (1984), Repairable Systems Reliability, New York, NY; Marcel Dekker
#' @description Ascher and Feingold (1984) present a dataset containing unscheduled maintenance actions for the U.S.S. Halfbeak number 4 main
#' propulsion diesel engine over 25,518 operating hours. For each observation, an event was recorded as either \code{start}
#' (denotes the start of the observational period), \code{end} (denotes the end of the observational period), or \code{report}
#' (denoting that an unscheduled maintenance action was reported). The data were analyzed to determine if the system was
#' deteriorating (unscheduled maintenance actions were being reported more frequently as the system ages)
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name hcfdata
#' @format A \code{data.frame} with 83 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab specimen \tab Specimen type \tab \bold{Categoric}\cr
#' [, 2] \tab step \tab Was step-up loading used? \tab \bold{Categoric}\cr
#' [, 3] \tab hertz \tab Load frequency \tab \bold{Numeric}\cr
#' [, 4] \tab ratio \tab Stress ratio \code{max(tensile stress)/max(compressive stress)} \tab \bold{Numeric}\cr
#' [, 5] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 6] \tab range \tab Stress range \code{max(tensile stress) - max(compressive stress)} \tab \bold{Numeric}\cr
#' [, 7] \tab tensile \tab Maximum tensile stress \tab \bold{Numeric}\cr
#' [, 8] \tab event \tab Event observed at \code{cycles} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 9] \tab swt \tab Smith-Watson-Topper parameter \tab \bold{Numeric}
#' }
#' @source W.Q. Meeker, L.A. Escobar, and Lu (1998)
#' @details \deqn{swt = 0.5 x \sigma\Delta\epsilon}
#' @description ####
NULL
#' Sheathed tubular heater failures
#'
#' @docType data
#' @family data-notdone
#' @name heater
#' @format A \code{data.frame} with 24 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at failure \tab \bold{Numeric}\cr
#' [, 2] \tab fahrenheit \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Nelson (1990)
#' @description ####
NULL
#' Nuclear power plant heat exchanger tube crack data
#'
#' @docType data
#' @name heatexchanger
#' @format A \code{data.frame} with 9 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in years) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in years) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (left-censored/right-censored/interval-censored)\tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 5] \tab plant \tab Plant where the tube was installed \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1996), Statistical Methods for Reliability Data, New York, NY; Wiley-Interscience
#' @description Inspection data for heat exchanger tubes across three different nuclear power plants. The data were recorded in 1983,
#' at this point in time, Plant 1 had been in operation for 3 years, Plant 2 for 2 years, and Plant 3 for only 1 year.
#' Because all of the heat exchangers were manufactured according to the same design specifications and because the heat
#' exchangers were operated in generating plants run under similar tightly controlled conditions, the data from the
#' different plants was combined for the sake of making inferences and predictions about the time-to-crack distribution
#' of the heat exchanger tubes.
#' @details Nuclear power plants use heat exchangers to transfer energy from the reactor to steam turbines. A typical heat exchanger
#' contains thousands of tubes through which steam flows continuously when the heat exchanger is in service. With age,
#' heat exchanger tubes develop cracks, usually due to some combination of stress-corrosion and fatigue. A heat exchanger
#' can continue to operate safely when the cracks are small. If cracks get large enough, however, leaks can develop, and
#' these could lead to serious safety problems and expensive, unplanned plant shut-down time. To protect against having leaks,
#' heat exchangers are taken out of service periodically so that its tubes (and other components) can be inspected with
#' nondestructive evaluation techniques. At the end of each inspection period, tubes with detected cracks are plugged so that
#' water will no longer pass through them. This reduces plant efficiency, but extends the life of the expensive heat exchangers.
#' With this in mind, heat exchangers are built with extra capacity and can remain in operation up until the point where a certain
#' percentage (e.g., 5\%) of the tubes have been plugged.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name hpcrepairs
#' @format A \code{data.frame} with 8 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab system \tab System type \tab \bold{Categoric}\cr
#' [, 2] \tab months \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{months} (Repair/End) \tab \bold{Categoric}
#' }
#' @source Shimokawa, T., and Hamaguchi, Y. (1987), Statistical Evaluation of Fatigue Life and Fatigue Strength in Circular-Holed Notched Specimens of a Carbon Eight-Harness-Satin/Epoxy Laminate, in Statistical Research on Fatigue and Fracture (Current Japanese Materials Research, Vol. 2), eds. T. Tanaka, S. Nishijima, and M. Ichikawa, London: Elsevier, pp. 159-176.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name icdevice1
#' @rdname icdevice
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name icdevice2
#' @rdname icdevice
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name icdevice2_w300
#' @rdname icdevice
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name insulation
#' @rdname insulation
#' @format A \code{data.frame} with 128 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Event time \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab volts \tab Electrical power applied \tab \bold{Numeric}\cr
#' [, 4] \tab units \tab Number of events observed at \code{weeks} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name insulation_dadtplan
#' @rdname insulation
#' @format A \code{data.frame} with 128 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab weeks \tab Event time \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab volts \tab Electrical power applied \tab \bold{Numeric}\cr
#' [, 4] \tab units \tab Number of events observed at \code{weeks} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name inconel
#' @format A \code{data.frame} with 246 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab strain \tab Amount of strain observed \tab \bold{Numeric}\cr
#' [, 2] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{cycles} (Failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Shen, C. L. (1994), Statistical Analysis of Fatigue Data,unpublished Ph.D. dissertation, University of Arizona, Department of Aerospace and Mechanical Engineering.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name laminatepanel
#' @format A \code{data.frame} with 125 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab mpa \tab Stress applied (in millions of pascals) \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}\
#' }
#' @source Shimokawa, T., and Hamaguchi, Y. (1987), Statistical Evaluation of Fatigue Life and Fatigue Strength in Circular-Holed Notched Specimens of a Carbon Eight-Harness-Satin/Epoxy Laminate,'' in Statistical Research on Fatigue and Fracture (Current Japanese Materials Research, Vol. 2), eds. T. Tanaka, S. Nishijima, and M. Ichikawa, London: Elsevier, pp. 159-176.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name largeball
#' @format A \code{data.frame} with 13 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval\tab \bold{Numeric}\cr
#' [, 5] \tab celsius \tab Temperature applied \tab \bold{Numeric}
#' }
#' @source Meeker W.Q., Escobar L.A., and Lu (1998)
#' @description ####
NULL
#' Integrated circuit life test
#'
#' @docType data
#' @name lfp1370
#' @format A \code{data.frame} with 22 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. (1987), Limited failure population life tests: application to integrated circuit reliability, Technometrics, 29, 51-65.
#' @description The primary purpose of this experiment was to estimate the proportion of
#' defective units being manufactured in the current production process and
#' to estimate the amount of 'burn-in' time that would be required to remove
#' most of the defective units from the product population. The engineers
#' involved in the experiment were also interested in whether it might be
#' possible to get the needed information about the state of the production process.
#' In the future, using much shorter tests (say 200 or 300 hours).
#'
#' @details The \code{event} column indicates that these data are singly right censored at 1370 hours.
#' However, the presence of ties indicates that the data are actually inspection times which
#' perhaps should have been recorded as interval censored observations.
#' @seealso \code{\link{lfptrun100}}
NULL
#' Integrated circuit life test (truncated)
#'
#' @docType data
#' @name lfptrun100
#' @format A \code{data.frame} with 28 rows and 34variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab count \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab truntime \tab Truncation time \tab \bold{Numeric}\cr
#' [, 4] \tab truntype \tab Truncation type \code{hours} \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. (1987), Limited failure population life tests: application to integrated circuit reliability, Technometrics, 29, 51-65.
#' @description The primary purpose of this experiment was to estimate the proportion of
#' defective units being manufactured in the current production process and
#' to estimate the amount of 'burn-in' time that would be required to remove
#' most of the defective units from the product population. The engineers
#' involved in the experiment were also interested in whether it might be
#' possible to get the needed information about the state of the production process.
#' In the future, using much shorter tests (say 200 or 300 hours).
#'
#' @details The \code{event} column indicates that these data are singly right censored at 1370 hours.
#' However, the presence of ties indicates that the data are actually inspection times which
#' perhaps should have been recorded as interval censored observations.
#' @seealso \code{\link{lfp1370}}
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name locomotivecontrol
#' @format A \code{data.frame} with 38 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilomiles \tab Accumulated distance at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kilomiles} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kilomiles} \tab \bold{Numeric}
#' }
#' @source Nelson (1982), page 33
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name luminosity
#' @format A \code{data.frame} with 2175 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time when \code{luminosity} was measured \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab unit \tab Unit type \tab \bold{Categoric}\cr
#' [, 4] \tab luminosity \tab Luminosity of something \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' Ball bearing fatigue test data
#'
#' @docType data
#' @name lzbearing
#' @format A \code{data.frame} with 23 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab megacycles \tab Accumulated cycles at failure (in millions) \tab \bold{Numeric}
#' }
#' @source Lawless, J. F. (1982), Statistical Models and Methods for Lifetime Data, New York, NY; Wiley & Sons
#' @description The ball bearings came from four different major bearing companies.
#' There was disagreement in the industry as to the appropriate parameter
#' values to use to describe the relationship between fatigue life and stress
#' loading. The main objective of the study was to estimate values of the parameters
#' in the equation relating bearing life to load.
NULL
#' Earth-moving machine maintenance
#'
#' @docType data
#' @family data-notdone
#' @name machineh
#' @format A \code{data.frame} with 573 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab unit \tab Unit type \tab \bold{Categoric}\cr
#' [, 2] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab cost \tab Price of test \tab \bold{Numeric}\cr
#' [, 4] \tab event \tab Event observed at \code{hours} (Action/End) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name mechanicalswitch
#' @format A \code{data.frame} with 37 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours\tab Accumulated time at failure \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{hours} \tab \bold{Categoric}
#' }
#' @source Nair (1994)
#' @description ####
NULL
#' Metal alloy sliding wear resistance test
#'
#' @docType data
#' @name metalwear
#' @format A \code{data.frame} with 96 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab microns \tab Specimen thickness \tab \bold{Numeric}\cr
#' [, 2] \tab unit \tab Unit designator \tab \bold{Categoric}\cr
#' [, 3] \tab cycles \tab Accumulated cycles at an observation \tab \bold{Numeric}\cr
#' [, 4] \tab grams \tab Weight applied to the test specimen \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description An experiment was conducted to test the sliding wear resistance of a particular metal alloy.
#' The data show changes in specimen thickness after being subjected to metal-to-metal sliding friction.
#' Adding weight can increase the sliding frictional forces and cause the specimen to wear more quickly.
#' A range of different weights were applied to (1) study the relationship between applied weight and wear
#' resistance and (2) gain a better understanding of the wear mechanism.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name multiplefail
#' @format A \code{data.frame} with 40 rows and 7 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 2] \tab turn_hours \tab Time of an observed turn event \tab \bold{Numeric}\cr
#' [, 3] \tab turn_event \tab Type of turn event at \code{turn_hours} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab phase_hours \tab Time of an observed phase event \tab \bold{Numeric}\cr
#' [, 5] \tab phase_event \tab Type of phase event at \code{phase_hours} (failed/right-censored) \tab \bold{Categoric}\cr
#' [, 6] \tab ground_hours \tab Time of an observed ground event \tab \bold{Numeric}\cr
#' [, 7] \tab ground_event \tab Type of ground event at \code{ground_hours} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Nelson (1990)
#' @description ####
NULL
#' Accelerated life test of a mylar-polyurethane insulating structure
#'
#' @rdname mylarpoly
#' @docType data
#' @name mylarsub
#' @format A \code{data.frame} with 46 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab minutes \tab Time to dielectric breakdown \tab \bold{Numeric}\cr
#' [, 2] \tab ratio \tab Electromagnetic field strength (in kV/mm) \tab \bold{Numeric}
#' }
#' @source Kalkanis, G., and Rosso, E. (1989),
#' The inverse power law model for the lifetime of a mylar-polyurethane laminated DC HV insulating structure,
#' Nuclear Instruments and Methods in Physics Research, \bold{A281}, 489-496.
#' @description Kalkanis and Rosso (1989) present data generated from an accelerated life test performed on a
#' special type of mylar-polyurethane insulation used in high-performance electro-magnets.
#' The data give the time to dielectric breakdown of units tested at 100.3, 122.4, 157.1,
#' 219.0, and 361.4 kV/mm. The purpose of the experiment was to evaluate the reliability
#' of the insulating structure and to estimate the life distribution at system design voltages.
NULL
#' Accelerated life test of a mylar-polyurethane insulating structure
#'
#' @rdname mylarpoly
#' @docType data
#' @name mylarpoly
#' @format A \code{data.frame} with 46 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab minutes \tab Time to dielectric breakdown \tab \bold{Numeric}\cr
#' [, 2] \tab ratio \tab Electromagnetic field strength (in kV/mm) \tab \bold{Numeric}
#' }
#' @source Kalkanis, G., and Rosso, E. (1989),
#' The inverse power law model for the lifetime of a mylar-polyurethane laminated DC HV insulating structure,
#' Nuclear Instruments and Methods in Physics Research, \bold{A281}, 489-496.
#' @description Kalkanis and Rosso (1989) present data generated from an accelerated life test performed on a
#' special type of mylar-polyurethane insulation used in high-performance electro-magnets.
#' The data give the time to dielectric breakdown of units tested at 100.3, 122.4, 157.1,
#' 219.0, and 361.4 kV/mm. The purpose of the experiment was to evaluate the reliability
#' of the insulating structure and to estimate the life distribution at system design voltages.
NULL
#' High-temp gas spring accelerated test
#'
#' @docType data
#' @family data-notdone
#' @name newspring
#' @format A \code{data.frame} with 80 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab centimeters \tab Spring stroke length \tab \bold{Numeric}\cr
#' [, 3] \tab fahrenheit \tab Temperature applied to the spring \tab \bold{Numeric}\cr
#' [, 4] \tab method \tab Manufacturing method (New/Old) \tab \bold{Categoric}\cr
#' [, 5] \tab event \tab Event observed at \code{kcycles} (Suspended/Failed) \tab \bold{Categoric}\cr
#' [, 6] \tab count \tab Number of events observed at \code{kcycles} \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. (1999) A factorial experiment to compare the lifetimes of springs as a function of a processing temperature and amount of displacement in the spring test (Unpublished)
#' @description ####
NULL
#' Accelerated test of spacecraft battery cell data
#'
#' @docType data
#' @name nicdbattery
#' @format A \code{data.frame} with 87 rows and 10 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied to the battery \tab \bold{Numeric}\cr
#' [, 2] \tab discharge_depth \tab Depth of discharge (as percent) \tab \bold{Numeric}\cr
#' [, 3] \tab discharge_time \tab Discharge time (in hours) \tab \bold{Numeric}\cr
#' [, 4] \tab charge \tab Charge time (in hours) \tab \bold{Numeric}\cr
#' [, 5] \tab recharge \tab Level of recharge \tab \bold{Numeric}\cr
#' [, 6] \tab koh_percent \tab Concentration of Potassium Hydroxide (as percent) \tab \bold{Numeric}\cr
#' [, 7] \tab koh_volume \tab Volume of Potassium Hydroxide (in cubic-centimeters) \tab \bold{Numeric}\cr
#' [, 8] \tab precharge \tab Precharge time (in hours) \tab \bold{Numeric}\cr
#' [, 9] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [,10] \tab event \tab Event observed at \code{cycles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source Brown, H. M., and Mains D. E (1979)
#' Accelerated Test Program for Sealed Nickel--Cadmium Spacecraft Batteries/Cells,
#' Technical Report WQEC/C 79-145. Available from the Department of the Navy,
#' Naval Weapons Support Center, Weapons Quality Engineering Center, Crane, IN 47522.
#' @description Brown and Mains (1979) present the results of an extensive experiment to evaluate
#' the long-term performance of rechargable nickel-cadmium battery cells that
#' were to be used in spacecraft. The study used 8 experimental factors. The
#' first five factors are environmental or accelerating factors (set to higher
#' than usual levels to obtain failure information more quickly). The other
#' three factors were product-design factors that could be adjusted in the product
#' design to optimize performance and reliability of the batteries to be manufactured.
#' The experiment ran 82 batteries, each containing 5 individual cells. Each battery
#' was tested at a combination of factor levels determined according to a central
#' composite experimental plan.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name parta
#' @format A \code{data.frame} with 60 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at failure (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab operator \tab Test operator \tab \bold{Categoric}
#' }
#' @source Meeker, W. Q. (1999) An experiment to compare the life times of units assembled by three different operators (unpublished)
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @name photodetector
#' @format A \code{data.frame} with 7 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Time (in hours) at which an inspection interval began \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab Time (in hours) at which an inspection interval ended \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Weis et al. (1986)
#' @description ####
NULL
#' Tensile Fatigue Test of Polyester/Viscose Yarn
#'
#' @docType data
#' @family data-notdone
#' @rdname piccioto
#' @name piccioto
#' @format A \code{data.frame} with 797 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Length of the test specimen \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Picciotto R., (1970)
#' Tensile Fatigue Characteristics of a Sized Polyester/Viscose Yarn and Their Effect on Weaving Performance.
#' A thesis submitted to the Graduate Faculty of North Carolina State University at Raleigh in partial fulfillment of the requirements for the Degree of Master of Science.
#' Department of Textile Technology.
#' @description Picciotto includes the \code{length} and \code{kcycles} columns.
#' picciotto2 is a subset of the picciotto data set, including only the units for which \code{length = 30,60, or 90}.
#' picciotto3 mirrors picciotto2 but assumes that the test conlcuded at 100 kilocycles
NULL
#' Tensile Fatigue Test of Polyester/Viscose Yarn
#'
#' @docType data
#' @family data-notdone
#' @rdname piccioto
#' @name piccioto2
#' @format A \code{data.frame} with 797 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Length of the test specimen \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Picciotto R., (1970)
#' Tensile Fatigue Characteristics of a Sized Polyester/Viscose Yarn and Their Effect on Weaving Performance.
#' A thesis submitted to the Graduate Faculty of North Carolina State University at Raleigh in partial fulfillment of the requirements for the Degree of Master of Science.
#' Department of Textile Technology.
#' @description Picciotto includes the \code{length} and \code{kcycles} columns.
#' picciotto2 is a subset of the picciotto data set, including only the units for which \code{length = 30,60, or 90}.
#' picciotto3 mirrors picciotto2 but assumes that the test conlcuded at 100 kilocycles
NULL
#' Tensile Fatigue Test of Polyester/Viscose Yarn
#'
#' @docType data
#' @family data-notdone
#' @rdname piccioto
#' @name piccioto3
#' @format A \code{data.frame} with 797 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Length of the test specimen \tab \bold{Numeric}\cr
#' [, 2] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failed/right-censored) \tab \bold{Categoric}
#' }
#' @source Picciotto R., (1970)
#' Tensile Fatigue Characteristics of a Sized Polyester/Viscose Yarn and Their Effect on Weaving Performance.
#' A thesis submitted to the Graduate Faculty of North Carolina State University at Raleigh in partial fulfillment of the requirements for the Degree of Master of Science.
#' Department of Textile Technology.
#' @description Picciotto includes the \code{length} and \code{kcycles} columns.
#' picciotto2 is a subset of the picciotto data set, including only the units for which \code{length = 30,60, or 90}.
#' picciotto3 mirrors picciotto2 but assumes that the test conlcuded at 100 kilocycles
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name pipelinethickness
#' @format A \code{data.frame} with 200 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab inches \tab Observed pipe thickness \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name pmax
#' @format A \code{data.frame} with 170 rows and 9 variables:
#' \tabular{rlll}{
#' [, 1] \tab penid \tab Identification designator \tab \bold{Categoric}\cr
#' [, 2] \tab batch \tab Batch indicator \tab \bold{Categoric}\cr
#' [, 3] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 4] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 5] \tab sample \tab Type of sample tested \tab \bold{Categoric}\cr
#' [, 6] \tab wafer \tab Type of wafer \tab \bold{Categoric}\cr
#' [, 7] \tab pmax \tab Maximum value of p observed \tab \bold{Numeric}\cr
#' [, 8] \tab locus \tab Type of locus \tab \bold{Categoric}\cr
#' [, 9] \tab event \tab Event observed at \code{days} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @name primarybattery
#' @format A \code{data.frame} with 7 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source louis hart (1987), IEEE Rel 5-10
#' @description ####
NULL
#' Printed circuit board accelerated life test
#'
#' @docType data
#' @name printedcircuitboard
#' @format A \code{data.frame} with 140 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in hours) \tab \bold{Numeric}\cr
#' [, 3] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}\cr
#' [, 4] \tab event \tab Event observed in the interval (right-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 5] \tab rh \tab Relative humidity applied \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q., and LuValle, M. J. (1995),
#' An accelerated life test model based on reliability kinetics,
#' Technometrics, \bold{37}, 133-146.
#' @description Meeker and LuValle (1995) give data from an accelerated life test on failure of
#' printed circuit boards. The purpose of the experiment was to study the
#' effect of the stresses on the failure-time distribution and to predict
#' reliability under normal operating conditions. More specifically, the
#' experiment was designed to study a particular failure mode - the formation
#' and growth of conductive anodic filaments between copper-plated through-holes
#' in the printed circuit boards. Actual growth of the filaments could not be
#' monitored, only failure time (defined as a short circuit) could be observed
#' directly. Special test boards were constructed for the experiment.
#'
#' The data provided here are the number of failures observed in each of a series of
#' 4-hour and 12-hour long intervals over the life-test period. This experiment resulted
#' in interval-censored data because only the interval in which each failure occurred was
#' known. Further, the data are part of the results of a much larger experiment aimed at
#' determining the effects of temperature, relative humidity, and electric field
#' on the reliability of printed circuit boards.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name prob3_5
#' @format A \code{data.frame} with 25 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kcycles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @name pulse
#' @format A \code{data.frame} with 20 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab count \tab Number of events observed at \code{pulse} \tab \bold{Numeric}\cr
#' [, 2] \tab pulse \tab Pulse level observed \tab \bold{Numeric}\cr
#' }
#' @source ####
#' @description ####
NULL
#' Car door lock transmitter replacement data
#'
#' @docType data
#' @family data-almost
#' @name r4490
#' @format A \code{data.frame} with 47 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab vin \tab Vehicle identifcation number \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (R4490/End/MEnd) \tab \bold{Categoric}\cr
#' [, 4] \tab costcount \tab What is cost count? \tab \bold{Numeric}
#' }
#' @source ####
#' @description R4490 is the code used by General Motors denoting Remote Control Door Lock Transmitter Replacement
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name repairtimes
#' @format A \code{data.frame} with 119 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Time required to complete a repair \tab \bold{Numeric}\
#' }
#' @source Meeker, W. Q., (1997) Recorded times to repair a particular kind of electronic system, without regard to failure mode (unpublished)
#' @description ####
NULL
#' Carbon-Film Resistor Accelerated Degradation Test
#'
#' @docType data
#' @name resistor
#' @format A \code{data.frame} with 116 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Observed increase in resistance \tab \bold{Numeric}\cr
#' [, 2] \tab resistor \tab Resistor type \tab \bold{Categoric}\cr
#' [, 3] \tab celsius \tab Temperature applied to \code{resistor} \tab \bold{Numeric}\cr
#' [, 4] \tab hours \tab Accumulated hours (in thousands) when \code{percent} was measured\tab \bold{Numeric}
#' }
#' @source Shiomi, H., and Yanagisawa, T. (1979),
#' On distribution parameter during accelerated life test for a carbon film resistor,
#' Bulletin of the Electrotechnical Laboratory, \bold{43}, 330-345 (in Japanese).
#' @source Suzuki, K., Maki, K., and Yokogawa, S. (1993),
#' An analysis of degradation data of a carbon film and properties of the estimators,
#' in Statistical Sciences and Data Analysis, 501-511. K. Matusita, M. Puri, and T. Hayakawa, Editors.
#' Utrecht, Netherlands: VSP.
#' @description Samples of carbon-film resistors were tested at each of three levels of temperature. At the standard
#' operating temperature of 50^{o} C, carbon-film resistors will slowly degrade. Changes in resistance
#' can cause reduced product performance or even cause system failures. The test was run at high levels
#' of temperature to accelerate the chemical degradation process and obtain degradation data more quickly.
#'
#' This dataset presents the percent change in resistance measured throughout the test,
#' while the \code{\link{resistor2}} dataset presents the absolute value of resistance measure during the test.
#' @seealso \code{\link{resistor2}}
NULL
#' Carbon-Film Resistor Accelerated Degradation Test
#'
#' @docType data
#' @name resistor2
#' @format A \code{data.frame} with 145 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab resistor \tab Resistor type \tab \bold{Categoric}\cr
#' [, 2] \tab celsius \tab Temperature applied to the resistor \tab \bold{Numeric}\cr
#' [, 3] \tab hours \tab Accumulated time when \code{resistance} was measured \tab \bold{Numeric}\cr
#' [, 4] \tab resistance \tab Resistance (ohms) observed \tab \bold{Numeric}
#' }
#' @source Shiomi, H., and Yanagisawa, T. (1979),
#' On distribution parameter during accelerated life test for a carbon film resistor,
#' Bulletin of the Electrotechnical Laboratory, \bold{43}, 330-345 (in Japanese).
#' @source Suzuki, K., Maki, K., and Yokogawa, S. (1993),
#' An analysis of degradation data of a carbon film and properties of the estimators,
#' in Statistical Sciences and Data Analysis, 501-511. K. Matusita, M. Puri, and T. Hayakawa, Editors.
#' Utrecht, Netherlands: VSP.
#' @description Samples of carbon-film resistors were tested at each of three levels of temperature. At the standard
#' operating temperature of 50^{o} C, carbon-film resistors will slowly degrade. Changes in resistance
#' can cause reduced product performance or even cause system failures. The test was run at high levels
#' of temperature to accelerate the chemical degradation process and obtain degradation data more quickly.
#'
#' The \code{\link{resistor}} dataset presents the percent change in resistance measured throughout the test,
#' while this dataset presents the absolute value of resistance measure during the test.
#' @seealso \code{\link{resistor}}
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name riverchem
#' @format A \code{data.frame} with 8 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab obs \tab Observation number \tab \bold{Numeric}\cr
#' [, 2] \tab qtr \tab Quarter when observation was made (Q1-Q4) \tab \bold{Categoric}\cr
#' [, 3] \tab day \tab Day when observation was made (Monday-Friday) \tab \bold{Categoric}\cr
#' [, 4] \tab ppm \tab Observed chemical concentration (in parts-per-million) \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name rocketmotor
#' @format A \code{data.frame} with 19 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab years \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{years} (right-censored/left-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{years} \tab \bold{Numeric}
#' }
#' @source Olwell, D. H. and Sorell, A. A. (2001), Proceedings of the 2001 Annual Reliability and Maintanability Symposium.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name shelflifea
#' @format A \code{data.frame} with 112 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab percent \tab Initial concentration level \tab \bold{Numeric}\cr
#' [, 2] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 3] \tab days \tab Accumulated time when \code{percent} measured \tab \bold{Numeric}\cr
#' [, 4] \tab truntime \tab Truncation time (in days) \tab \bold{Numeric}\cr
#' [, 5] \tab truntype \tab Truncation type (right-truncated) \tab \bold{Categoric}
#' }
#' @source ####
#' @description ####
NULL
#' Vehicle shock absorber failure data
#'
#' @docType data
#' @family data-almost
#' @name shockabsorber
#' @format A \code{data.frame} with 38 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilometers \tab Accumulated distance at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{miles} \tab \bold{Categoric}\cr
#' [, 3] \tab event \tab Event observed at \code{miles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source O'Connor, P. D. T. (1985),
#' Practical Reliability Engineering (Second Edition), New York, NY; John Wiley & Sons.
#' @description O'Connor gives the failure times (in number of kilometers of use) of vehicle shock absorbers.
#' The data shows two different failure modes occurring, denoted by M1 and M2. Engineers responsible
#' for shock absorber manufacturing and reliability were interested in the distribution of kilometers
#' to failure for the individual failure modes. Engineers responsible for higher-level automobile system
#' reliability and choosing among alternative vendors were interested in the overall failure distribution
#' for the shock absorbers.
NULL
#' Life test comparing different snubber designs
#'
#' @docType data
#' @family data-almost
#' @name snubber
#' @format A \code{data.frame} with 51 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab cycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{cycles} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{cycles} \tab \bold{Numeric}\cr
#' [, 4] \tab design \tab Design type (Old/New) \tab \bold{Categoric}
#' }
#' @source Nelson, W. (1982), Applied Life Data Analysis, pg. 529, New York, NY; John Wiley \& Sons.
#' @description A snubber is a component in an electric toaster. Nelson presents data from a life
#' test comparing two different snubber designs.
#'
NULL
#' Nickel-based Superalloy Fatigue Test
#'
#' @docType data
#' @name superalloy
#' @format A \code{data.frame} with 23 rows and 6 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{kcycles} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{kcycles} \tab \bold{Numeric}\cr
#' [, 4] \tab pstress \tab Pseudo-stress applied derated \tab \bold{Numeric}\cr
#' [, 5] \tab lpstress \tab Log[pseudo-stress] (\code{ln[pstress]})The log base e transformation of the Pseudo-Stress \tab \bold{Numeric}\cr
#' [, 6] \tab lpstress2 \tab Square of log[pseudo-stress] (\code{ln[pstress]^2}) \tab \bold{Numeric}
#' }
#' @source Nelson, W. (1990),
#' Accelerated Testing: Statistical Models, Test Plans, and Data Analyses,
#' New York, NY; John Wiley \& Sons.
#' @description Nelson (1990) presents and analyzes life data from a strain-controlled, low-cycle fatigue test performed on 26 cylindrical
#' specimens of a nickel-base superalloy. Four of the specimens were removed from the test before failure.
#' In addition to recording the number of cycles to failure, the level of pseudostress (Young's modulus
#' times strain) was also measured. The initial purpose of Nelson's analysis was to estimate the curve
#' giving the number of cycles at which .1\% of the population of such specimens would fail, as a function
#' of pseudostress.
NULL
#' Electrolytic capacitor accelerated life test data
#'
#' @docType data
#' @name tantalum
#' @format A \code{data.frame} with 48 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab volts \tab Voltage applied to the unit \tab \bold{Numeric}\cr
#' [, 5] \tab celsius \tab Temperature applied to the unit \tab \bold{Numeric}
#' }
#' @source Singpurwalla, N. D., Castellino, V. C., and Goldschen, D. Y. (1975),
#' Inference from accelerated life tests using Eyring type re-parameterizations,
#' Naval Research Logistics Quarterly, \bold{22}, 289-296.
#' @description Singpurwalla, Castellino, and Goldschen (1975) present temperature/voltage accelerated life test data on tantalum
#' electrolytic capacitors. The tests were conducted at temperature/voltage combinations that were nonrectangular
#' and with unequal allocations of units.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name testdadtplan
#' @format A \code{data.frame} with 9 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab celsius \tab Temperature applied to the unit \tab \bold{Numeric}\cr
#' [, 2] \tab days \tab Event time \tab \bold{Numeric}\cr
#' [, 3] \tab count \tab Number of units tested \tab \bold{Categoric}
#' }
#' @source Shimokawa, T., and Hamaguchi, Y. (1987), Statistical Evaluation of Fatigue Life and Fatigue Strength in Circular-Holed Notched Specimens of a Carbon Eight-Harness-Satin/Epoxy Laminate,'' in Statistical Research on Fatigue and Fracture (Current Japanese Materials Research, Vol. 2), eds. T. Tanaka, S. Nishijima, and M. Ichikawa, London: Elsevier, pp. 159-176.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name titanium
#' @format A \code{data.frame} with 96 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} (in thousands) \tab \bold{Numeric}\cr
#' [, 2] \tab strain \tab Strain measured at \code{kilocycles} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{kilocycles} (failure/right-censored) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q., Escobar L.A., and Lu (1998)
#' @description ####
NULL
#' Titanium fatigue crack growth data
#'
#' @docType data
#' @family data-notdone
#' @name titanium2
#' @format A \code{data.frame} with 10 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab kilocycles \tab Accumulated cycles at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{cycles} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{cycles} \tab \bold{Numeric}
#' }
#' @source Meeker, W. Q. and Escobar, L. A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @source Hudak, S.J., Saxena, A., Bucci, R. J., and Malcom, R .C. (1978),
#' Development of standard methods of testing and analyzing fatigure crack growth rate data,
#' Technical Report AFML-TR-78-40, Westinghouse R & D Center, Westinghouse Electric Corporation, Pittsburgh, PA.
#' @description A sample of 100 specimens of a titanium alloy were subjected to a fatigue test to determine time
#' to crack initiation. The test was run up to a limit of 100,000 cycles. The observed number of cycles to crack
#' initiation (in units of 1,000 of cycles) were: 18, 32, 39, 53, 59, 68, 77, 78, 93. No crack had initiated in
#' any of the other 91 other specimens prior to reaching 100,000 cycles.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name tractorbreaks
#' @format A \code{data.frame} with 107 rows and 1 variable:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at failure \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name tree25years
#' @format A \code{data.frame} with 29 rows and 1 variable:
#' \tabular{rlll}{
#' [, 4] \tab meters \tab Annual growth in tree height \tab \bold{Numeric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' Turbine wheel crack initiation data
#'
#' @docType data
#' @name turbine
#' @format A \code{data.frame} with 21 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated hours (in hundreds) at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (right-censored/left-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source Nelson, W. (1982) Applied Life Data Analysis, New York, NY: John Wiley \& Sons.
#' @description Nelson (1982) describes a study to estimate the
#' distribution of time to crack initiation for turbine
#' wheels. Each of 432 wheels were inspected once to
#' determine if it had started to crack or not. At the
#' time of the inspections, the wheels had different
#' amounts of service time (age). A unit found to be
#' cracked at its inspection was labelled as left-censored
#' at its age (because the crack had initiated at some
#' unknown point before its inspection age). A unit found
#' to be uncracked at its inspection was labelled as
#' right-censored at its age (because a crack would be
#' initiated at some unknown point after that age).
#' The data show the number of cracked and uncracked
#' wheels in different age categories, showing the midpoint
#' of the time interval given by Nelson. The data were
#' put into intervals to facilitate simpler analyses.
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name turbinedevice
#' @format A \code{data.frame} with 50 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab cycles \tab Accumulated cycles (in millions) at failure \tab \bold{Numeric}\cr
#' [, 2] \tab mode \tab Failure mode observed at \code{mcycles} (Crack/Fixture) \tab \bold{Categoric}
#' }
#' @source Unpublished Meeker (1999)
#' @description ####
NULL
#' Transmitter vacuum tube life test data
#'
#' @docType data
#' @name v7tube
#' @format A \code{data.frame} with 5 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Davis, D. J. (1952) An analysis of some failure data,
#' Journal of the American Statistical Association, \bold{47}, 113-150.
#' @description Although solid-state electronics have made vacuum tubes obsolete for most applications, such tubes are still
#' widely used in the output stage of high-power transmitters. Davis (1952) presents life data for a certain kind
#' of transmitter vacuum tube (designated as "V7" within a particular transmitter design). For this dataset, and in
#' many practical situations, the exact failure times were not reported. Instead the data only contain the number of
#' failures observed within each inspection interval.
NULL
#' #####
#'
#' @docType data
#' @family data-almost
#' @name v805tube
#' @format A \code{data.frame} with 18 rows and 4 variables:
#' \tabular{rlll}{
#' [, 1] \tab lower \tab Start of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 2] \tab upper \tab End of an inspection interval (in days) \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed in the interval (right-censored/left-censored/interval-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed in the interval \tab \bold{Numeric}
#' }
#' @source Davis, D. J. (1952) An analysis of some failure data,
#' Journal of the American Statistical Association, \bold{47}, 113-150.
#' @description ####
NULL
#' Diesel engine valve seat data
#'
#' @docType data
#' @name valveseat
#' @format A \code{data.frame} with 89 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab engine \tab Designator code specifying each engine under test \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (replacement/end) \tab \bold{Categoric}\cr
#' }
#' @source Nelson, W. and Doganaksoy, N. (1989)
#' A computer program for an estimate and confidence limits for the mean cumulative function for cost or number of repairs of
#' repairable products,
#' TIS report 89CRD239, General Electric Company Research and Development, Schenectady, NY.
#' @source Nelson, W. (1995) Confidence limits for recurrence data - applied to cost or number of product repairs,
#' Technometrics, \bold{37}, 147-157.
#' @description Nelson and Doganaksoy report the age when a valve seat replacement occurred across a fleet of 41 diesel
#' engines. For each engine, the number of days when a replacement event occured were recorded along with the number of
#' days when the observational period ended. The data were recorded to answer the following questions:
#' \describe{
#' {1}{Does the replacement rate increased with age?}
#' {2}{How many replacement valves will be needed in some future period of time?}
#' {3}{Can valve life in these systems be modeled as a superimposed renewal process?}
#' }
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name vehiclemotor
#' @format A \code{data.frame} with 43 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 4] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}
#' }
#' @source ####
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name voltageendurance
#' @format A \code{data.frame} with 58 rows and 2 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (ProcessDefect/Degradation/Right-censored) \tab \bold{Categoric}
#' }
#' @source Meeker W.Q. and Escobar L.A. (1998) Statistical Methods for Reliability Data, New York, NY; John Wiley & Sons.
#' @description ####
NULL
#' #####
#'
#' @docType data
#' @family data-notdone
#' @name workstation
#' @format A \code{data.frame} with 12 rows and 3 variables:
#' \tabular{rlll}{
#' [, 1] \tab station \tab Station where \code{event} was observed \tab \bold{Categoric}\cr
#' [, 2] \tab days \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 3] \tab event \tab Event observed at \code{days} (report/end) \tab \bold{Categoric}
#' }
#' @source Meeker and Escobar (1998)
#' @description ####
NULL
#' Glass capacitor accelerated life test data
#'
#' @docType data
#' @name zelencap
#' @format A \code{data.frame} with 40 rows and 5 variables:
#' \tabular{rlll}{
#' [, 1] \tab hours \tab Accumulated time at \code{event} \tab \bold{Numeric}\cr
#' [, 2] \tab event \tab Event observed at \code{hours} (failure/right-censored) \tab \bold{Categoric}\cr
#' [, 3] \tab count \tab Number of events observed at \code{hours} \tab \bold{Numeric}\cr
#' [, 4] \tab celsius \tab Temperature applied \tab \bold{Numeric}\cr
#' [, 5] \tab volts \tab Electrical power applied \tab \bold{Numeric}
#' }
#' @source Zelen, M. (1959) Factorial experiments in life testing, Technometrics, \bold{1}3, 269-288
#' @description Zelen describes an accelerated life test performed on glass capacitors at higher than usual levels of
#' temperature and voltage. The data were obtained from a factorial experiment in which eight capacitors were tested
#' at each combination of temperature and voltage. For each combination, the test was terminated after the fourth failure
#' was observed, yielding failure (Type II) censored data.
NULL
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