Package: CopulaSCR 1.0.2

CopulaSCR: Analysis of Semi-Competing Risks Data Using Copula-Based Models

Simulate and analyze Semi-competing Risks Data using copula-based models. The Semi-competing Risks Data consist of a terminal event time and single or multiple intermediate event times. The marginal survival functions of these event times are estimated without parametric assumptions. The association parameters measuring dependency among these event times involving the copula model are yielded from solving a concordance estimating equations or maximizing a pseudo-likelihood function. Details can be found in the article by Tonghui Yu and Liming Xiang (2026) <doi:10.1093/biomtc/ujag087>.

Authors:Tonghui Yu [aut, cre], Binhui Zhang [aut]

CopulaSCR_1.0.2.tar.gz
CopulaSCR_1.0.2.zip(r-4.7-x86_64)CopulaSCR_1.0.2.zip(r-4.7-arm64)CopulaSCR_1.0.2.zip(r-4.6-x86_64)CopulaSCR_1.0.2.zip(r-4.6-arm64)CopulaSCR_1.0.2.zip(r-4.5-x86_64)
CopulaSCR_1.0.2.tgz(r-4.6-x86_64)CopulaSCR_1.0.2.tgz(r-4.6-arm64)CopulaSCR_1.0.2.tgz(r-4.5-x86_64)CopulaSCR_1.0.2.tgz(r-4.5-arm64)
CopulaSCR_1.0.2.tar.gz(r-4.7-arm64)CopulaSCR_1.0.2.tar.gz(r-4.7-x86_64)CopulaSCR_1.0.2.tar.gz(r-4.6-arm64)CopulaSCR_1.0.2.tar.gz(r-4.6-x86_64)
CopulaSCR_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CopulaSCR/json (API)

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

Bug tracker:https://github.com/ytonghui/copulascr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • mimiv_demo - MIMIC-IV Demo Dataset
  • mSCRdata - Example Semi-Competing Risks Dataset with Multiple Intermediate Events
  • SCRdata - Example Semi-Competing Risks Dataset with a Single Intermediate Event
  • SCRdata_by_tr - Example Semi-Competing Risks Dataset by Treatment Group

On CRAN:

Conda:

cpp

3.26 score 1 stars 1.2k downloads 19 exports 125 dependencies

Last updated from:d6360c0889. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK135
linux-devel-x86_64OK156
source / vignettesOK467
linux-release-arm64OK166
linux-release-x86_64OK236
macos-release-arm64OK191
macos-release-x86_64OK267
macos-oldrel-arm64OK215
macos-oldrel-x86_64OK352
windows-devel-arm64OK363
windows-devel-x86_64OK181
windows-release-arm64OK380
windows-release-x86_64OK198
windows-oldrel-x86_64OK134
wasm-releaseOK168

Exports:association_estimatesbrier_scoresCalitauCaltaudyBSintegrated_brier_scoremarginal_fitmscrpredchrpredcsurvpredicted_valuespredictscrpredjsurvscrassonpscrsurvsimSCRsimSCRmulsimSCRtrterminal_survival

Dependencies:abindacopulaADGofTestbackportsBiocGenericsbootbroomcarcarDatacliclustercodetoolscolorspacecommonmarkcopulacorrplotcowplotcpp11curldata.tableDerivdiagramdigestdoBydoParalleldotCall64dplyrexactRankTestsfarverfieldsforeachforecastFormulafracdifffuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifggtextglobalsgluegraphgridExtragridtextgslgtableisobanditeratorsjpegKernSmoothlabelinglatticelavalifecyclelistenvlitedownlme4lmtestmagrittrmapsmarkdownMASSMatrixMatrixModelsmaxstatmgcvminqamodelrmvtnormnlmenloptrnnetnumDerivparallellypbkrtestpcaPPpillarpkgconfigpngpolynompracmaprodlimprogressrpsplinepurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasRgraphvizrlangrstatixS7scalesshapespamSparseMSQUAREMstablediststringistringrSurvCorrsurvivalsurvminertibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxfunxml2zoo

Readme and manuals

Help Manual

Help pageTopics
Extract Association Estimatesassociation_estimates association_estimates.scrassonp
Extract Brier Scoresbrier_scores brier_scores.dyBS
Dependence Measures for Bivariate CopulasCalitau Caltau
Brier Scores for Terminal Survival PredictiondyBS
Extract the Integrated Brier Scoreintegrated_brier_score integrated_brier_score.dyBS
Extract Pseudo-Log-Likelihood from an 'mscr' ObjectlogLik.mscr
Extract a Marginal Fitmarginal_fit marginal_fit.mscr
MIMIC-IV Demo Datasetmimiv_demo
Association Analysis for Semi-Competing Risks Data with Multiple Intermediate Event Timesmscr
Example Semi-Competing Risks Dataset with Multiple Intermediate EventsmSCRdata
Plot an 'mscr' Objectplot.mscr
Plot an 'scrassonp' Objectplot.scrassonp
Plot of Marginal Survival Curves for Nonterminal and Terminal Event Timesplot.scrsurv
Dynamic Terminal Survival Predictionpredict.mscr
Survival Predictionpredict.scrsurv
Extract Predicted Valuespredicted_values predicted_values.predchr predicted_values.predcsurv predicted_values.predjsurv predicted_values.predmscr predicted_values.predmsurv
Survival Predictionpredchr predcsurv predictscr predjsurv
Print an 'mscr' Objectprint.mscr
Print an 'scrassonp' Objectprint.scrassonp
Print an 'scrsurv' Objectprint.scrsurv
Concordance Estimator for the Association Parameterscrassonp
Example Semi-Competing Risks Dataset with a Single Intermediate EventSCRdata
Example Semi-Competing Risks Dataset by Treatment GroupSCRdata_by_tr
Nonparametric Estimation of Marginal Survival Functionsscrsurv
Simulate Semi-Competing Risks Data from a Copula-Based Parametric ModelsimSCR
Simulate Semi-Competing Risks Data with Multiple Intermediate EventssimSCRmul
Simulate Stratified Semi-Competing Risks Data from a Copula-Based Parametric ModelsimSCRtr
Summarize an 'mscr' Objectsummary.mscr
Summarize an 'scrassonp' Objectsummary.scrassonp
Summarize an 'scrsurv' Objectsummary.scrsurv
Extract the Terminal Survival Functionterminal_survival terminal_survival.mscr