REsmsurv: Estimate the baseline survival function S_0(t)

In HansTierens/MMixCure: Fit a Multilevel Mixture Cure with Correlated Random Effects in Incidence and Latency

Description

This function estimates the baseline survival function given the survival data, covariates and frailty predictions.

Usage

REsmsurv(Time, Status, X, beta, frailty, grp, w)

Arguments

Time	A vector of length n, containing the observed event/censoring times.
Status	A vector of length n, containing the event/censoring indicators (event:1 and censoring:0).
X	A nxk matrix of covariates..
beta	A vector of length k, containing the covariate effects.
frailty	A vector of length j, containing all j frailty predictions.
grp	A vector of length n, containing the grouping indicators (to identify the frailty term for each subject).
w	A vector of length n, containing the expected susceptibility indicator.

HansTierens/MMixCure documentation built on Dec. 31, 2020, 12:59 p.m.