LikCopInd: Loglikehood function under independent censoring

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Loglikehood function under independent censoring

Description

Loglikehood function under independent censoring

Usage

LikCopInd(theta, resData, X, W, lhat, cumL, dist)

Arguments

theta	Estimated parameter values/initial values for finite dimensional parameters
resData	Data matrix with three columns; Z = the observed survival time, d1 = the censoring indicator of T and d2 = the censoring indicator of C.
X	Data matrix with covariates related to T
W	Data matrix with covariates related to C. First column of W should be ones
lhat	The estimated hazard function obtained from the output of SolveLI.
cumL	The estimated cumulative hazard function from the output of SolveLI.
dist	The distribution to be used for the dependent censoring C. Only two distributions are allowed, i.e, Weibull and lognormal distributions. With the value "Weibull" as the default. @importFrom stats nlminb pnorm qnorm sd

Value

Maximized log-likelihood value

depCensoring documentation built on April 4, 2025, 1:52 a.m.