RRMw: ReliaSoft Ranking Method

In RRM: Implementation of ReliaSoft Ranking Method

Description

RRMw implements a likelihood based placement of specific fail time and rank position for life-data sets including interval-censored data

Usage

 RRMw(x=NULL, s=NULL, interval=NULL) 

Arguments

x	A vector of known failure times
s	A vector of last life-times known for right-censored, suspension, data.
interval	A dataframe consisting of "left" and "right" times (using those column names) bounding an interval in which failure must have occurred. Discoveries, or left-censored data, are entered with any non-positive numeric value (including NA) in the "left" column of the dataframe.

Details

This function is provided as a test for eventual inclusion in package abremPivotals. A later version of this implementation is expected to be called internally from getPPP when interval data has been provided.

Value

A list of named dataframes: "ppp", "trials", and "increments". The ppp dataframe is consistent with the required for for the x arguement of the key regression function lslr. The other objects in this list provide detail on intermediate steps of the method.

References

"Appendix: Special Analysis Methods." ReliaWiki RSS. N.p., n.d. Web. 06 Aug. 2014. <http://reliawiki.org/index.php/Appendix

Examples

failures<-c(90,96,30,49,82)
suspensions<-c(100,45,10)
intervals<-data.frame(left=c(rep(0,3),rep(20,2), rep(50,3)),
 right=c(50,55,60,rep(40,2),rep(70,2),85))
pppDF<-RRMw(failures,suspensions,intervals)[[1]]

RRM documentation built on May 2, 2019, 4:49 p.m.