get.gap.ccif {bigtcr}

Conditional Bivariate Cumulative Incidence Function Estimation

Description

Estimate the conditional bivariate cumulative incidence function. See bigtcr-package.

Usage

get.gap.ccif(obs.y, event, v, tau = Inf)

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

Value

A matrix with class gap.ccif that has J+2 columns. Column 1 and 2 are (v,w). The rest columns correspond to H_1(v,w) to H_J(v,w). Each row represents a distinct observed time point and the row name contains the value of this time point.

Examples

Hj <- get.gap.ccif(obs.y=pancancer$obs.y, event=pancancer$min.type, v=pancancer$v, tau=120)