get.gap.ccif: Conditional Bivariate Cumulative Incidence Function...

In bigtcr: Nonparametric Analysis of Bivariate Gap Time with Competing Risks

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, … J: type of failure events
v	Time to the first failure event (e.g. disease recurrence)
tau	Conditioning time τ 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)

bigtcr documentation built on May 2, 2019, 6:03 a.m.