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CopulaCenR (version 1.2.3)

Copula-Based Regression Models for Multivariate Censored Data

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.

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Version

Install

install.packages('CopulaCenR')

Monthly Downloads

612

Version

1.2.3

License

GPL (>= 3)

Maintainer

Tao Sun

Last Published

September 23rd, 2023

Functions in CopulaCenR (1.2.3)

data_sim_ic

data_sim_ic
data_sim_multi_rec

data_sim_multi_rec
lines.CopulaCenR

Plotting for CopulaCenR fits
logLik.CopulaCenR

the log-likelihood of a CopulaCenR object
data_sim_copula

Simulate bivariate time-to-event times based on specific copula and marginal distributions
lrt_copula

Likelihood-ratio test for covariate effect(s) in copula models
rc_scmprisk_sp_copula_pen

Penalized copula regression models with Cox semiparametric margins for semi-competing risk data under right-censoring.
rc_par_copula

Copula regression models with parametric margins for bivariate right-censored data
print.summary.CopulaCenR

Print the summary of a CopulaCenR object
plot.CopulaCenR

Plotting for CopulaCenR fits
rc_spCox_copula

Copula regression models with Cox semiparametric margins for bivariate right-censored data
predict.CopulaCenR

Predictions from CopulaCenR regression models
score_copula

Generalized score test for covariate effect(s)
print.CopulaCenR

Printing outputs of a CopulaCenR object
tau_copula

Calculate Kendall's tau
summary.CopulaCenR

Summarizing outputs of a CopulaCenR object
AREDS

AREDS
coef.CopulaCenR

the coefficient estimates of a CopulaCenR object
IRsurv

An information ratio-based goodness-of-fit test for copula models on censored data
AIC.CopulaCenR

the AIC of a CopulaCenR object
BIC.CopulaCenR

the BIC of a CopulaCenR object
CopulaCenR

Copula-based regression models for bivariate censored data
fitted.CopulaCenR

Fitted values from CopulaCenR regression models
ic_scmprisk_spTran_copula

Copula regression models with semi-parametric transformation margins for semi-competing risk data under interval-censoring and left-truncation
ic_par_copula

Copula regression models with parametric margins for bivariate interval-censored data
ic_spTran_copula

Copula regression models with semiparametric margins for bivariate interval-censored data
Kidney

Kidney
data_sim_RC

data_sim_RC
DRS

DRS
data_sim_rec

data_sim_rec
ACTG181

ACTG181
data_scmprisk

data_scmprisk
data_sim_scmprisk_vs

data_sim_scmprisk_vs