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CopulaCenR  

Copula-Based Regression Models for Multivariate Censored Data
View on CRAN: Click here


Download and install CopulaCenR package within the R console
Install from CRAN:
install.packages("CopulaCenR")

Install from Github:
library("remotes")
install_github("cran/CopulaCenR")

Install by package version:
library("remotes")
install_version("CopulaCenR", "1.2.4")



Attach the package and use:
library("CopulaCenR")
Maintained by
Tao Sun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-04
Latest Update: 2023-09-23
Description:
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.
How to cite:
Tao Sun (2019). CopulaCenR: Copula-Based Regression Models for Multivariate Censored Data. R package version 1.2.4, https://cran.r-project.org/web/packages/CopulaCenR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2019-03-04 18:20), 1.0.0 (2019-03-05 15:40), 1.1.2 (2019-03-20 06:23), 1.1.3 (2021-03-01 15:00), 1.2.1 (2022-10-01 09:10), 1.2.2 (2022-12-17 01:40), 1.2.3 (2023-09-24 00:40)
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