mcs_delays: Adjustment of Operating Times by Delays using a Monte Carlo...
In weibulltools: Statistical Methods for Life Data Analysis

Description Usage Arguments Value Examples

This function is a wrapper that combines both, the mcs_delay_register and mcs_delay_report function for adjusting the operation times of censored units.

1 2	mcs_delays(date_prod, date_register, date_repair, date_report, x, event, distribution = "lognormal", details = FALSE, seed = NULL)

`date_prod`	a vector of class `"character"` or `"Date"`, in the format "yyyy-mm-dd", indicating the date of production of a unit. If no date is available use `NA`.
`date_register`	a vector of class `"character"` or `"Date"`, in the format "yyyy-mm-dd", indicating the date of registration of a unit. If no date is available use `NA`.
`date_repair`	a vector of class `"character"` or `"Date"`, in the format "yyyy-mm-dd", indicating the date of repair of a failed unit. If no date is available use `NA`.
`date_report`	a vector of class `"character"` or `"Date"`, in the format "yyyy-mm-dd", indicating the date of report of a failed unit. If no date is available use `NA`.
`x`	a numeric vector of operating times.
`event`	a vector of binary data (0 or 1) indicating whether unit i is a right censored observation (= 0) or a failure (= 1).
`distribution`	supposed distribution of the random variable. The default value is `"lognormal"`. So far no other distribution is implemented.
`details`	a logical variable, where the default value is `FALSE`. If `FALSE` the output consists of a vector with corrected operating times for the censored units and the input operating times for the failed units. If `TRUE` the output consists of a detailed list, i.e the same vector as described before, simulated random numbers, estimated distribution parameters and a seed for reproducibility.
`seed`	if `seed = NULL` a random seed is used. Otherwise the user can specify an integer for the seed.

A numerical vector of corrected operating times for the censored units and the input operating times for the failed units if details = FALSE. If details = TRUE the output is a list which consists of the following elements:

time : Numerical vector of corrected operating times for the censored observations and input operating times for failed units.
x_sim_regist : Simulated random numbers of specified distribution with estimated parameters for delay in registration. The length of x_sim_regist is equal to the number of censored observations.
x_sim_report : Simulated random numbers of specified distribution with estimated parameters for delay in report. The length of x_sim_report is equal to the number of censored observations.
coefficients_regist : Estimated coefficients of supposed distribution for delay in registration.
coefficients_report : Estimated coefficients of supposed distribution for delay in report.
int_seed : Integer seed number for reproducibility.

date_of_production   <- c("2014-07-28", "2014-02-17", "2014-07-14",
                          "2014-06-26", "2014-03-10", "2014-05-14",
                          "2014-05-06", "2014-03-07", "2014-03-09",
                          "2014-04-13", "2014-05-20", "2014-07-07",
                          "2014-01-27", "2014-01-30", "2014-03-17",
                          "2014-02-09", "2014-04-14", "2014-04-20",
                          "2014-03-13", "2014-02-23", "2014-04-03",
                          "2014-01-08", "2014-01-08")
date_of_registration <- c("2014-08-17", "2014-03-29", "2014-12-06",
                          "2014-09-09", "2014-05-14", "2014-07-01",
                          "2014-06-16", "2014-04-03", "2014-05-23",
                          "2014-05-09", "2014-05-31", "2014-08-12",
                          "2014-04-13", "2014-02-15", "2014-07-07",
                          "2014-03-12", "2014-05-27", "2014-06-02",
                          "2014-05-20", "2014-03-21", "2014-06-19",
                          "2014-02-12", "2014-03-27")
date_of_repair <- c(NA, "2014-09-15", "2015-07-04", "2015-04-10", NA,
                   NA, "2015-04-24", NA, "2015-04-25", "2015-04-24",
                    "2015-06-12", NA, "2015-05-04", NA, NA,
                    "2015-05-22", NA, "2015-09-17", NA, "2015-08-15",
                    "2015-11-26", NA, NA)

date_of_report <- c(NA, "2014-10-09", "2015-08-28", "2015-04-15", NA,
                    NA, "2015-05-16", NA, "2015-05-28", "2015-05-15",
                    "2015-07-11", NA, "2015-08-14", NA, NA,
                    "2015-06-05", NA, "2015-10-17", NA, "2015-08-21",
                    "2015-12-02", NA, NA)

op_time <- rep(1000, length(date_of_repair))
state <- c(0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0)

# Example 1 - Simplified vector output:
x_corrected <- mcs_delays(date_prod = date_of_production,
                          date_register = date_of_registration,
                          date_repair = date_of_repair,
                          date_report = date_of_report,
                          x = op_time,
                          event = state,
                          distribution = "lognormal",
                          seed = NULL,
                          details = FALSE)

# Example 2 - Detailed list output:
list_detail <- mcs_delays(date_prod = date_of_production,
                                date_register = date_of_registration,
                                date_repair = date_of_repair,
                                date_report = date_of_report,
                                x = op_time,
                                event = state,
                                distribution = "lognormal",
                                seed = NULL,
                                details = TRUE)