Package: dscoreMSM 0.1.0

Atanu Bhattacharjee

dscoreMSM: Survival Proximity Score Matching in Multi-State Survival Model

Implements survival proximity score matching in multi-state survival models. Includes tools for simulating survival data and estimating transition-specific coxph models with frailty terms. The primary methodological work on multistate censored data modeling using propensity score matching has been published by Bhattacharjee et al.(2024) <doi:10.1038/s41598-024-54149-y>.

Authors:Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]

dscoreMSM_0.1.0.tar.gz
dscoreMSM_0.1.0.tar.gz(r-4.7-any)dscoreMSM_0.1.0.tar.gz(r-4.6-any)
dscoreMSM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dscoreMSM/json (API)

# Install 'dscoreMSM' in R:
install.packages('dscoreMSM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • EBMTdata - European Bone Marrow Transplantation data obtained from 'mstate' r package
  • EBMTupdate - European Bone Marrow Transplantation data obtained from 'mstate' r package. This is the updated data obtained after applying SPSM.
  • simulated_data - Simulated multistate data

On CRAN:

Conda:

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

jagscpp

2.00 score 162 downloads 5 exports 103 dependencies

Last updated from:57afab2d9f. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK231
linux-release-x86_64OK163
wasm-releaseOK142

Exports:cphGMdscoreggplot_rocggplot_survsimfdata

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodacodetoolscolorspacecpp11data.tablediagramdigestdoParallelevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applyggplot2glmnetglobalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmimemstatemultcompmvtnormnlmennetnumDerivparallellypecplotrixpolsplineprodlimprogressrPublishquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrjagsrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatimeregtimeROCtinytexvctrsviridisLitewithrxfunyamlzoo

R package dscoreMSM

Rendered fromdscoreMSM.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2024-12-13
Started: 2024-12-13