Copula.Markov.survival (version 1.0.0)

Copula Markov Model with Dependent Censoring

Description

Perform likelihood estimation and corresponding analysis under the copula-based Markov chain model for serially dependent event times with a dependent terminal event. Available are statistical methods in Huang, Wang and Emura (2020, JJSD accepted).

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Version

Install

install.packages('Copula.Markov.survival')

Monthly Downloads

189

Version

1.0.0

License

GPL-3

Maintainer

Xin-Wei Huang

Last Published

July 20th, 2020

Functions in Copula.Markov.survival (1.0.0)

Copula.Markov.survival

ClaytonClayton.Weibull.MLE

Parameter estimation based on the Clayton copula for serial dependence and the Clayton copula for dependent censoring with the Weibull distributions

FrankClayton.Weibull.data

Generate data from the Frank copula for serial dependence and the Clayton copula for dependent censoring with the Weibull distributions

ClaytonClayton.Weibull.data

Generate data from the Clayton copula for serial dependence and the Clayton copula for dependent censoring with the Weibull distributions

FrankFrank.Weibull.data

Generate data from the Frank copula for serial dependence and the Frank copula for dependent censoring with the Weibull distributions

FrankFrank.Weibull.MLE

Parameter estimation based on the Frank copula for serial dependence and the Frank copula for dependent censoring with the Weibull distributions

FrankClayton.Weibull.MLE

Parameter estimation based on the Frank copula for serial dependence and the Clayton copula for dependent censoring with the Weibull distributions

ClaytonFrank.Weibull.MLE

Parameter estimation based on the Clayton copula for serial dependence and the Frank copula for dependent censoring with the Weibull distributions

ClaytonFrank.Weibull.data

Generate data from the Clayton copula for serial dependence and the Frank copula for dependent censoring with the Weibull distributions