loopcuts_onestep function

Change-point p-values at given time points

This function computes the p-values at the current time points in input "time"

loopcuts_onestep(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

Returns

P-values at for all time points in "time"

Examples

data(loopcuts_t_c)
time = loopcuts_t_c[,1]
censor = loopcuts_t_c[,2]
loopcuts_onestep(time, censor, 28.03013699, 1)