get.gap.pval {bigtcr}

Comparison of Bivariate CCIF

Description

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

Usage

get.gap.pval(obs.y, event, v, 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

v

Time to the first failure event (e.g. disease recurrence)

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: H_j = H_k = \ldots = H_l.

Examples

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