loglik.simcm {sicure}R Documentation

Logarithm of the likelihood of a single-index mixture cure model

Description

This function computes the logarithm of the likelihood of a single-index mixture cure model.

Usage

loglik.simcm(x, time, delta, logh1, logh2, logh3, logh4, r, k = 10)

Arguments

x

A numeric vector giving the covariate values.

time

A numeric vector giving the observed times.

delta

A numeric vector giving the values of the uncensoring indicator, where 1 indicates that the event of interest has been observed and 0 indicates that the observation is censored.

logh1

The logarithm of the bandwidth used to smooth the covariate in the nonparametric estimation of the probability of cure.

logh2

The logarithm of the bandwidth used to smooth the covariate in the nonparametric estimation of the latency.

logh3

The logarithm of the bandwidth used to smooth the time variable in the nonparametric estimation of the conditional density of susceptible individuals.

logh4

The logarithm of the bandwidth used to smooth the covariate in the nonparametric estimation of the conditional density of susceptible individuals.

r

The radius of the moving window used to smooth the nonparametric estimation of the probability of cure.

k

The number of nearest neighbors used to smooth the nonparametric estimation of the conditional density of susceptible individuals.

Value

A list with two components:


[Package sicure version 0.1.1 Index]