CRAN/E | CopulaCenR

CopulaCenR

Copula-Based Regression Models for Multivariate Censored Data

Installation

About

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.

Key Metrics

Version 1.2.3
R ≥ 3.5.0
Published 2023-09-23 209 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks CopulaCenR results

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Maintainer

Maintainer

Tao Sun

sun.tao@ruc.edu.cn

Authors

Tao Sun
Ying Ding

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CopulaCenR archive

Depends

R ≥ 3.5.0

Imports

boot
caret
copBasic
copula
corpcor
flexsurv
foreach
icenReg
magrittr
plotly
pracma
survival
VineCopula