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CopulaCenR
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-04
Latest Update: 2024-11-14
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 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that CopulaCenR depends,
imports, suggests or enhances
Complete documentation for CopulaCenR
Functions, R codes and Examples using
the CopulaCenR R package
Some associated functions: ACTG181 . AIC.CopulaCenR . AREDS . BIC.CopulaCenR . CopulaCenR . DRS . IRsurv . Kidney . coef.CopulaCenR . data_scmprisk . data_sim_RC . data_sim_copula . data_sim_ic . data_sim_multi_rec . data_sim_rec . fitted.CopulaCenR . ic_par_copula . ic_scmprisk_spTran_copula . ic_spTran_copula . lines.CopulaCenR . logLik.CopulaCenR . lrt_copula . plot.CopulaCenR . predict.CopulaCenR . print.CopulaCenR . print.summary.CopulaCenR . rc_par_copula . rc_spCox_copula . score_copula . summary.CopulaCenR . tau_copula .
Some associated R codes: IRsurv.R . data_sim_copula.R . fitted.CopulaCenR.R . fun_S3.R . fun_data_proc.R . fun_gof.R . fun_loglik.R . fun_model.R . fun_plots.R . fun_pseudo_loglik.R . fun_scmprisk.R . fun_score.R . ic_par_copula.R . ic_scmprisk_spTran_copula.R . ic_sp_copula.R . lines.CopulaCenR.R . lrt_copula.R . plot.CopulaCenR.R . predict.CopulaCenR.R . rc_par_copula.R . rc_sp_copula.R . score_copula.R . tau_copula.R . Full CopulaCenR package functions and examples
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