Package: missDeaths 2.8
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:
missDeaths_2.8.tar.gz
missDeaths_2.8.zip(r-4.7)missDeaths_2.8.zip(r-4.6)missDeaths_2.8.zip(r-4.5)
missDeaths_2.8.tgz(r-4.6-x86_64)missDeaths_2.8.tgz(r-4.6-arm64)missDeaths_2.8.tgz(r-4.5-x86_64)missDeaths_2.8.tgz(r-4.5-arm64)
missDeaths_2.8.tar.gz(r-4.7-arm64)missDeaths_2.8.tar.gz(r-4.7-x86_64)missDeaths_2.8.tar.gz(r-4.6-arm64)missDeaths_2.8.tar.gz(r-4.6-x86_64)
missDeaths_2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
missDeaths/json (API)
| # Install 'missDeaths' in R: |
| install.packages('missDeaths', repos = c('https://tstupnik.r-universe.dev', 'https://cloud.r-project.org')) |
- 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.
Last updated from:0e0479b6f4. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 188 | ||
| linux-devel-x86_64 | OK | 190 | ||
| source / vignettes | OK | 251 | ||
| linux-release-arm64 | OK | 210 | ||
| linux-release-x86_64 | OK | 204 | ||
| macos-release-arm64 | OK | 185 | ||
| macos-release-x86_64 | OK | 372 | ||
| macos-oldrel-arm64 | OK | 187 | ||
| macos-oldrel-x86_64 | OK | 349 | ||
| windows-devel | OK | 152 | ||
| windows-release | OK | 188 | ||
| windows-oldrel | OK | 155 | ||
| wasm-release | OK | 180 |
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.tableDBIdiagramdigestdoParalleldplyrevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2glmnetglobalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalazyevallifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemitoolsmultcompmvtnormnlmennetnumDerivpammtoolsparallellypecpillarpkgconfigplotrixpolsplineprodlimprogressrPublishpurrrquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenrelsurvriskRegressionrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesscamshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeregtinytexutf8vctrsviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| md.binom | md.binom |
| Censoring simulated survival data | md.censor |
| md.constant | md.constant |
| Prepare compatible demographic information | md.D |
| md.data | md.data |
| md.death | md.death |
| md.eval | md.eval |
| md.exp | md.exp |
| Correctly impute missing information of possible deaths using population mortality | md.impute |
| md.mvnorm | md.mvnorm |
| md.norm | md.norm |
| md.sample | md.sample |
| md.sex | md.sex |
| md.simparams | md.simparams |
| md.simulate | md.simulate |
| Fit a proportional hazards regression model over disease recurrence data with missing information of possible deaths | md.survcox |
| Nonparametric analysis of disease recurrence with missing information of possible deaths | md.survnp |
| md.uniform | md.uniform |
| Simulating and analyzing time to event data in the presence of population mortality | missDeaths-package missDeaths |
| A simulated dataset with non-recorded deaths | observed |
