caret, copula, corpcor, flexsurv, icenReg, magrittr, plotly,
pracma, survival

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) and
semiparametric (Cox and transformation) 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-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) and
semiparametric (Cox and transformation) 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 (2019) Lifetime Data Analysis
and Sun et.al (In Press) Biostatistics.

Copula-Based Regression Models for Multivariate Censored Data
Copula-based regression models for multivariate censored data, including
bivariate right-censored data, bivariate interval-censored data, and interval-censored
semi-competing risks data. Currently supports Clayton, Gumbel, Frank, Joe, AMH and
Copula2 copula models. For marginal models, it supports parametric (Weibull, Loglogistic,
Gompertz) and semiparametric (Cox and transformation) 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 (2019) Lifetime Data Analysis,
Sun et.al (2021) Biostatistics, and Sun et.al (2022) Statistical Methods in Medical
Research.

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test
Accuracy Studies
person("Victoria", "N Nyaga", email="victoria.nyaga@outlook.com", role=c("aut", "cre"))
Modelling of sensitivity and specificity on their natural scale
using copula based bivariate beta-binomial distribution to yield marginal mean sensitivity
and specificity. The intrinsic negative correlation between sensitivity and
specificity is modelled using a copula function. A forest plot can be obtained
for categorical covariates or for the model with intercept only.