CopulaCenR: 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>.

Version: 1.0.0
Imports: caret, copula, corpcor, flexsurv, icenReg, magrittr, plotly, pracma, survival
Published: 2019-03-05
Author: Tao Sun, Ying Ding
Maintainer: Tao Sun <tao.sun at pitt.edu>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: CopulaCenR results

Downloads:

Reference manual: CopulaCenR.pdf
Package source: CopulaCenR_1.0.0.tar.gz
Windows binaries: r-devel: CopulaCenR_1.0.0.zip, r-release: CopulaCenR_1.0.0.zip, r-oldrel: CopulaCenR_1.0.0.zip
OS X binaries: r-release: CopulaCenR_1.0.0.tgz, r-oldrel: CopulaCenR_1.0.0.tgz
Old sources: CopulaCenR archive

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