Likelihood.Profile.Kernel: Calculate the profiled likelihood function with kernel...

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Calculate the profiled likelihood function with kernel smoothing

Description

Calculate the profiled likelihood function with kernel smoothing

Usage

Likelihood.Profile.Kernel(param, yobs, delta, copfam, margins, cure = FALSE)

Arguments

param	a vector contains all parametric parameters.
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.