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).

Association Analysis of Bivariate Survival Data Based on Copulas
Perform association analysis of bivariate survival data based on copula models.
Two different ways to estimate the association parameter in copula models are implemented.
A goodness-of-fit test for a given copula model is implemented.
See Emura, Lin and Wang (2010) <doi.org/10.1016/j.csda.2010.03.013> for details.

Perform association analysis of bivariate survival data based on copula models.
Two different ways to estimate the association parameter in copula models are implemented.
A goodness-of-fit test for a given copula model is implemented.
See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.
A more general reference for the copula-based analysis of bivariate survival data is
Emura, Matsui, and Rondeau (2019) <doi:10.1007/978-981-13-3516-7>.

Analysis of Bivariate Survival Data Based on Copulas
Simulating bivariate survival data from copula models.
Estimation of the association parameter in copula models.
Two different ways to estimate the association parameter in copula models are implemented.
A goodness-of-fit test for a given copula model is implemented.
See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.

Copula-Based Regression Models for Bivariate Censored Data
Copula-based regression models for bivariate censored data, including
bivariate right-censored data and bivariate interval-censored data. Currently
supports Clayton, Gumbel, Frank, Joe, AMH and Copula2 copula models. For
marginal models, it supports parametric (Weibull, Loglogistic, Gompertz),
weakly-parametric piecewise-constant hazards (only for bivariate right-censored)
and semiparametric transformation (only for bivariate interval-censored data)
models. Includes methods for convenient prediction and plotting. Also provides
a bivariate time-to-event simulation function. Method details can be found in
Sun et.al. (2018) < doi:10.1007/s10985-018-09459-5> and
Sun et.al (2019) <arXiv:1901.01918>.
copula, corpcor, flexsurv, icenReg, magrittr, plotly, pracma,
survival