Package: CopulaSCR 1.0.1

Tonghui Yu

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_1.0.1.tar.gz
CopulaSCR_1.0.1.tar.gz(r-4.7-arm64)CopulaSCR_1.0.1.tar.gz(r-4.7-x86_64)CopulaSCR_1.0.1.tar.gz(r-4.6-arm64)CopulaSCR_1.0.1.tar.gz(r-4.6-x86_64)
CopulaSCR_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CopulaSCR/json (API)

# Install 'CopulaSCR' in R:
install.packages('CopulaSCR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • 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:

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

cpp

1.00 score 13 exports 121 dependencies

Last updated from:5378eec88f. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK178
linux-devel-x86_64OK183
source / vignettesOK255
linux-release-arm64OK166
linux-release-x86_64OK179
wasm-releaseOK178

Exports:CalitauCaltaudyBSmscrpredchrpredcsurvpredictscrpredjsurvscrassonpscrsurvsimSCRsimSCRmulsimSCRtr

Dependencies:abindacopulaADGofTestbackportsBiocGenericsbootbroomcarcarDatacliclustercodetoolscolorspacecommonmarkcopulacorrplotcowplotcpp11curldata.tableDerivdiagramdigestdoBydoParalleldplyrexactRankTestsfarverforeachforecastFormulafracdifffuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifggtextglobalsgluegraphgridExtragridtextgslgtableisobanditeratorsjpegKernSmoothlabelinglatticelavalifecyclelistenvlitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmvtnormnlmenloptrnnetnumDerivparallellypbkrtestpcaPPpillarpkgconfigpngpolynompracmaprodlimprogressrpsplinepurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasRgraphvizrlangrstatixS7scalesshapeSparseMSQUAREMstablediststringistringrsurvivalsurvminertibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxfunxml2zoo