get.pval {bigtcr}

Comparison of CCIF

Description

Compare the CCIF of different failure typess by applying the technique of permutation test. See bigtcr-package.

Usage

get.pval(obs.y, event, tau = Inf, comp.event = c(1, 2), np = 1000,
  Kt = function(x) {     1 })

Arguments

obs.y

Y: time to failure events or censoring

event

0: censored; 1, \ldots J: type of failure events

tau

Conditioning time \tau under which the CCIF is defined

comp.event

Failure events for CCIF comparison

np

Number of permutations

Kt

A weight function that takes one parameter t and return the weight for t. Default weight function is constant 1

Value

P-value of the hypothesis test H_0: G_j = G_k = \ldots = G_l.

Examples

pval <- get.pval(pancancer$obs.y, pancancer$min.type,
                 tau=120, comp.event=c(1,2), np=20);