Package: SurvMA 1.6.8

Mengyu Li

SurvMA: Model Averaging Prediction of Personalized Survival Probabilities

Provide methods for model averaging prediction of personalized survival probabilities.

Authors:Mengyu Li [aut, cre], Jie Ding [aut], Xiaoguang Wang [aut]

SurvMA_1.6.8.tar.gz
SurvMA_1.6.8.zip(r-4.7-any)SurvMA_1.6.8.zip(r-4.6-any)SurvMA_1.6.8.zip(r-4.5-any)
SurvMA_1.6.8.tgz(r-4.6-any)SurvMA_1.6.8.tgz(r-4.5-any)
SurvMA_1.6.8.tar.gz(r-4.7-any)SurvMA_1.6.8.tar.gz(r-4.6-any)
SurvMA_1.6.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SurvMA/json (API)

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

Bug tracker:https://github.com/stat-wangxg/survma/issues

Datasets:
  • RealData.ROT - RealData.ROT: A simulated dataset based on a pre-specified time-varying coefficients Cox model.
  • SimData.APL - SimData.APL: A simulated dataset based on a pre-specified partly linear additive Cox model.
  • SimData.TVC - SimData.TVC: A simulated dataset based on a pre-specified time-varying coefficients Cox model.

On CRAN:

Conda:

3.00 score 2 stars 1 scripts 322 downloads 2 exports 103 dependencies

Last updated from:a6a6ac6991. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK216
source / vignettesOK236
linux-releaseOK184
macos-releaseOK193
macos-oldrelOK142
windows-develOK106
windows-releaseOK99
windows-oldrelOK96
wasm-releaseOK150

Exports:SurvMA.FitSurvMA.Predict

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacecpp11data.tablediagramdigestdoParallelevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2glmnetglobalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmaxLikmemoisemetsmimemiscToolsmultcompmvtnormnlmennetnumDerivparallellypecplotrixpolsplineprodlimprogressrPublishquadprogquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatimeregtinytexvctrsviridisLitewithrxfunyamlzoo