Likelihood.Semiparametric: Calculate the semiparametric version of profiled likelihood...

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Calculate the semiparametric version of profiled likelihood function

Description

Calculate the semiparametric version of profiled likelihood function

Usage

Likelihood.Semiparametric(
  param,
  Syobs,
  yobs,
  delta,
  copfam,
  margins,
  cure = FALSE
)

Arguments

param	a vector contains all parametric parameters.
Syobs	values of survival function at observed time points.
yobs	a numeric vector that indicated the observed survival times.
delta	a numeric vector that stores the right-censoring indicators.
copfam	a character string that specifies the copula family.
margins	a list used to define the distribution structures of both the survival and censoring margins.
cure	a logical value that indicates whether the existence of a cured fraction should be considered.

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