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CopulaCenR: 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 right/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 and an information ratio-based goodness-of-fit test for copula. Method details can be found in Sun et.al (2019) Lifetime Data Analysis, Sun et.al (2021) Biostatistics, Sun et.al (2022) Statistical Methods in Medical Research, Sun et.al (2022) Biometrics, and Sun et al. (2023+) JRSSC.
Getting started
Browse package contents
Package details |
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| Author | Tao Sun [aut, cre] (<https://orcid.org/0000-0003-4447-3005>), Ying Ding [aut] (<https://orcid.org/0000-0003-1352-1000>) |
| Maintainer | Tao Sun <sun.tao@ruc.edu.cn> |
| License | GPL (>= 3) |
| Version | 1.2.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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