Package: dscoreMSM 0.1.0
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:
dscoreMSM_0.1.0.tar.gz
dscoreMSM_0.1.0.tar.gz(r-4.5-noble)dscoreMSM_0.1.0.tar.gz(r-4.4-noble)
dscoreMSM_0.1.0.tgz(r-4.4-emscripten)dscoreMSM_0.1.0.tgz(r-4.3-emscripten)
dscoreMSM.pdf |dscoreMSM.html✨
dscoreMSM/json (API)
# Install 'dscoreMSM' in R: |
install.packages('dscoreMSM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- 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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 17 days agofrom:57afab2d9f. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 14 2024 |
R-4.5-linux | OK | Dec 14 2024 |
Exports:cphGMdscoreggplot_rocggplot_survsimfdata
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodacodetoolscolorspacedata.tablediagramdigestdoParallelevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applyggplot2globalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemstatemultcompmunsellmvtnormnlmennetnumDerivparallellypecpillarpkgconfigplotrixpolsplineprodlimprogressrPublishquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrjagsrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletimeregtimeROCtinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo