Package: missDeaths 2.8

Tomaz Stupnik

missDeaths: Simulating and Analyzing Time to Event Data in the Presence of Population Mortality

Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence. Also includes a powerful set of object oriented survival data simulation functions.

Authors:Tomaz Stupnik [aut, cre], Maja Pohar Perme [ctb]

missDeaths_2.8.tar.gz
missDeaths_2.8.tar.gz(r-4.5-noble)missDeaths_2.8.tar.gz(r-4.4-noble)
missDeaths_2.8.tgz(r-4.4-emscripten)
missDeaths.pdf |missDeaths.html
missDeaths/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • observed - A simulated dataset with non-recorded deaths

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

cpp

1.69 score 49 scripts 201 downloads 23 exports 116 dependencies

Last updated 3 months agofrom:0e0479b6f4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 23 2024
R-4.5-linux-x86_64OKDec 23 2024

Exports:md.binommd.censormd.constantmd.Dmd.datamd.deathmd.evalmd.expmd.expprepmd.imputemd.initmd.mvnormmd.normmd.samplemd.sexmd.simparamsmd.simulatemd.survcoxmd.survdumpmd.survnpmd.survprobmd.survtimemd.uniform

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacecpp11data.tabledateDBIdiagramdigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2globalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalazyevallifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemitoolsmultcompmunsellmvtnormnlmennetnumDerivpammtoolsparallellypecpillarpkgconfigplotrixpolsplineprodlimprogressrPublishpurrrquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenrelsurvriskRegressionrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeregtinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo