Package: CopulaCenR 1.2.4

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.

Authors:Tao Sun [aut, cre], Ying Ding [aut]

CopulaCenR_1.2.4.tar.gz
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CopulaCenR_1.2.4.tgz(r-4.4-any)CopulaCenR_1.2.4.tgz(r-4.3-any)
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CopulaCenR.pdf |CopulaCenR.html
CopulaCenR/json (API)

# Install 'CopulaCenR' in R:
install.packages('CopulaCenR', repos = c('https://suntaojj.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.41 score 26 scripts 322 downloads 12 exports 140 dependencies

Last updated 9 days agofrom:fdfcb5f390. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winOKNov 15 2024
R-4.5-linuxOKNov 15 2024
R-4.4-winOKNov 15 2024
R-4.4-macOKNov 15 2024
R-4.3-winOKNov 15 2024
R-4.3-macOKNov 15 2024

Exports:data_sim_copulaic_par_copulaic_scmprisk_spTran_copulaic_spTran_copulaIRsurvlrt_copularc_par_copularc_scmprisk_Coxrc_scmprisk_sp_copula_penrc_spCox_copulascore_copulatau_copula

Dependencies:ADGofTestaskpassassertthatbase64encbbmlebdsmatrixBHbootbslibcachemcaretclasscliclockcodacodetoolscolorspacecopBasiccopulacorpcorcpp11crosstalkcurldata.tabledeSolvediagramdigestdplyre1071evaluatefansifarverfastGHQuadfastmapflexsurvfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegoftestgowergslgtablehardhathighrhtmltoolshtmlwidgetshttricenRegipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalazyevallifecyclelistenvlmomcoLmomentslubridatemagrittrMASSMatrixmemoisemgcvmimeMLEcensModelMetricsmstatemuhazmunsellmvtnormnlmennetnumDerivopensslparallellypcaPPpillarpkgconfigplotlyplyrpracmapROCprodlimprogressrpromisesproxypsplinepurrrquadprogR6randtoolboxrappdirsRColorBrewerRcppRcppArmadilloRcppEigenrecipesreshape2rlangrmarkdownrngWELLrpartrstpm2sassscalesshapeSQUAREMstablediststatmodstringistringrsurvivalsystibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsVineCopulaviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
ACTG181ACTG181
the AIC of a CopulaCenR objectAIC.CopulaCenR
AREDSAREDS
the BIC of a CopulaCenR objectBIC.CopulaCenR
the coefficient estimates of a CopulaCenR objectcoef.CopulaCenR
Copula-based regression models for bivariate censored dataCopulaCenR
data_scmpriskdata_scmprisk
data_scmprisk_rcdata_scmprisk_rc
Simulate bivariate time-to-event times based on specific copula and marginal distributionsdata_sim_copula
data_sim_icdata_sim_ic
data_sim_multi_recdata_sim_multi_rec
data_sim_RCdata_sim_RC
data_sim_recdata_sim_rec
data_sim_scmprisk_vsdata_sim_scmprisk_vs
DRSDRS
Fitted values from CopulaCenR regression modelsfitted.CopulaCenR
Copula regression models with parametric margins for bivariate interval-censored dataic_par_copula
Copula regression models with semi-parametric transformation margins for semi-competing risk data under interval-censoring and left-truncationic_scmprisk_spTran_copula
Copula regression models with semiparametric margins for bivariate interval-censored dataic_spTran_copula
An information ratio-based goodness-of-fit test for copula models on censored dataIRsurv
KidneyKidney
Plotting for CopulaCenR fitslines.CopulaCenR
the log-likelihood of a CopulaCenR objectlogLik.CopulaCenR
Likelihood-ratio test for covariate effect(s) in copula modelslrt_copula
Plotting for CopulaCenR fitsplot.CopulaCenR
Predictions from CopulaCenR regression modelspredict.CopulaCenR
Printing outputs of a CopulaCenR objectprint.CopulaCenR
Print the summary of a CopulaCenR objectprint.summary.CopulaCenR
Copula regression models with parametric margins for bivariate right-censored datarc_par_copula
Copula regression models with Cox margins for semi-competing risk data under right censoring casesrc_scmprisk_Cox
Penalized copula regression models with Cox semiparametric margins for semi-competing risk data under right-censoring.rc_scmprisk_sp_copula_pen
Copula regression models with Cox semiparametric margins for bivariate right-censored datarc_spCox_copula
Generalized score test for covariate effect(s)score_copula
Summarizing outputs of a CopulaCenR objectsummary.CopulaCenR
Calculate Kendall's tautau_copula