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 386 downloads 2 exports 103 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK147
source / vignettesOK239
linux-release-x86_64OK148
macos-release-arm64OK152
macos-oldrel-arm64OK126
windows-develOK75
windows-releaseOK84
windows-oldrelOK78
wasm-releaseOK145

Exports:SurvMA.FitSurvMA.Predict

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacecpp11data.tablediagramdigestdoParallelevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2glmnetglobalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmaxLikmemoisemetsmimemiscToolsmultcompmvtnormnlmennetnumDerivparallellypecplotrixpolsplineprodlimprogressrPublishquadprogquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatimeregtinytexvctrsviridisLitewithrxfunyamlzoo