loopcuts: Change-point p-values with backward elimination

In RPEXE.RPEXT: Reduced Piecewise Exponential Estimate/Test Software

Description

A function that iterates to compute the p-values from the backward elimination procedure (Han et al. 2014)

Usage

loopcuts(time,censor,cuttimes,mono)

Arguments

time	a sequence of time
censor	a vector indicating censored or not at the given times, 0 = censored; 1 = uncensored
cuttimes	unique, sorted, possible times to make the cuts, including 0 and the ending time
mono	0: 2-sided hypothesis: H0: lam1 is equal to lam2; H1: lam1 is not equal to lam2 1: 1-sided hypothesis: H0: lam1 is greater than or equal to lam2; H1: lam1 is less than lam2 2: 1-sided hypothesis: H0: lam1 is less than or equal to lam2; H1: lam1 is greater than lam2

Value

the times in the backward elimination procedure and the corresponding p-values for each change-point in the iteration

Examples

data(loopcuts_t_c)
data(loopcuts_cut)
time = loopcuts_t_c[,1]
censor = loopcuts_t_c[,2]
loopcuts(time, censor, loopcuts_cut, 1)

RPEXE.RPEXT documentation built on July 1, 2020, 6:02 p.m.