Likelihood.Profile.Solve: Solve the profiled likelihood function

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Solve the profiled likelihood function

Description

Solve the profiled likelihood function

Usage

Likelihood.Profile.Solve(
  yobs,
  delta,
  copfam,
  margins,
  ktau.init,
  parapar.init,
  cure,
  curerate.init,
  constraints,
  maxit,
  eps
)

Arguments

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.
ktau.init	initial value of Kendall's tau.
parapar.init	initial value of parametric parameters.
cure	a logical value that indicates whether the existence of a cured fraction should be considered.
curerate.init	initial value of cure rate.
constraints	constraints of parameters.
maxit	a positive integer that denotes the maximum iteration number in optimization.
eps	a positive small numeric value that denotes the tolerance for convergence.

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