Description Objects from the Class Slots Methods Author(s) See Also Examples
A class for online changepoint objects, specifically change in regression.
Objects can be created by calls of the form new("ocpt", ...)
.
new("ocpt", ...)
:creates a new object with class ocpt
sumstat
:Object of class "numeric"
, the summary statistic matrix for the data
cpttype
:Object of class "character"
, the type of online changepoint that was identified
method
:Object of class "character"
, the method that was used to search for online changepoints, default change in regression
test.stat
:Object of class "character"
, the test statistic used to analyse the data
pen.type
:Object of class "character"
, the penalty type specified in the analysis
pen.value
:Object of class "numeric"
, the value of the penalty used in the analysis
minseglen
:Object of class "numeric"
, the minimum segment length (no. of observations between online changepoints) used in the analysis.
cpts
:Object of class "numeric"
, vector of online changepoints identified
ncpts.max
:Object of class "numeric"
, maximum number of online changepoint that can be identified
param.est
:Object of class "list"
, list where each element is a vector of parameter estimates, if requested
date
:Object of class "character"
, date and time the online changepoint analysis was run
version
:Object of class "character"
, version number of the package used when the analysis was run.
lastchangelike
:Object of class "numeric"
, vector of lenght n containing the likelihood of the optimal segmentation up to each timepoint.
lastchangecpts
:Object of class "numeric"
, vector of length n containing the last changepoint prior to each timepoint.
nchecklist
:Object of class "numeric"
, stores the current number of changepoints detected.
checklist
:Object of class "numeric"
, vector of locations of the potential last changepoint for next iteration (to be updated), max length=(ndone+nupdate).
ndone
:Object of class "numeric"
, length of the time series when analysis begins.
nupdate
:Object of class "numeric"
, length of the time series to be analysed in this update.
cost_func
:Object of class "character"
, the cost function used in PELT.online calculations.
shape
:Object of class "numeric"
, only used when cost_func is the gamma likelihood. Otherwise 1.
signature(object = "ocpt.reg")
: retrieves cpts slot
signature(object = "ocpt.reg")
: retrieves cpttype slot
signature(object = "ocpt.reg")
: retrieves sumstat slot
signature(object = "ocpt.reg")
: retrieves test.stat slot
signature(object = "ocpt.reg")
: retrieves ncpts.max slot
signature(object = "ocpt.reg")
: retrieves method slot
signature(object = "ocpt")
: retrieves minseglen slot
signature(object = "ocpt.reg")
: retrieves param.est slot
signature(object = "ocpt.reg")
: retrieves pen.type slot
signature(object = "ocpt.reg")
: retrieves pen.value slot
signature(object = "ocpt.reg")
: replaces cpts slot
signature(object = "ocpt.reg")
: replaces cpttype slot
signature(object = "ocpt.reg")
: replaces sumstat slot
signature(object = "ocpt.reg")
: replaces test.stat slot
signature(object = "ocpt.reg")
: replaces ncpts.max slot
signature(object = "ocpt.reg")
: replaces method slot
signature(object = "ocpt.reg")
: replaces param.est slot
signature(object = "ocpt.reg")
: replaces pen.type slot
signature(object = "ocpt.reg")
: replaces pen.value slot
signature(object = "ocpt.reg")
: prints details of the cpt object including summary
signature(object = "ocpt.reg")
: prints a summary of the ocpt object
signature(object = "ocpt.reg")
: calculates the parameter estimates for the ocpt object
Andrew Connell Rebecca Killick
plot-methods
,cpts-methods
,ocpt
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