LikCopInd {SemiPar.depCens}

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