Copula.Markov.survival: Copula.Markov.survival

In Copula.Markov.survival: 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. A two stage estimation method is applied for estimating model parameters. Two copula functions are used for measuring dependence. One is used for modeling serial dependence in recurrent event times. The other one is for modeling dependent censoring. The baseline hazard functions are modeled by the Weibull distributions. See Huang (2019) <https://etd.lib.nctu.edu.tw/cgi-bin/gs32/ncugsweb.cgi?o=dncucdr&s=id=

Author(s)

Xinwei Huang [e-mail]

References

Huang, X.-W. (2019). Likelihood-based inference for copula-based Markov chain models for continuous, discrete, and survival data. NCU library.

Copula.Markov.survival documentation built on July 20, 2020, 5:07 p.m.