Package: SurvMetrics 0.5.0

Hanpu Zhou

SurvMetrics: Predictive Evaluation Metrics in Survival Analysis

An implementation of popular evaluation metrics that are commonly used in survival prediction including Concordance Index, Brier Score, Integrated Brier Score, Integrated Square Error, Integrated Absolute Error and Mean Absolute Error. For a detailed information, see (Ishwaran H, Kogalur UB, Blackstone EH and Lauer MS (2008) <doi:10.1214/08-AOAS169>) and (Moradian H, Larocque D and Bellavance F (2017) <doi:10.1007/s10985-016-9372-1>) for different evaluation metrics.

Authors:Hanpu Zhou [aut, cre], Xuewei Cheng [aut], Sizheng Wang [aut], Yi Zou [aut], Hong Wang [aut]

SurvMetrics_0.5.0.tar.gz
SurvMetrics_0.5.0.zip(r-4.5)SurvMetrics_0.5.0.zip(r-4.4)SurvMetrics_0.5.0.zip(r-4.3)
SurvMetrics_0.5.0.tgz(r-4.4-any)SurvMetrics_0.5.0.tgz(r-4.3-any)
SurvMetrics_0.5.0.tar.gz(r-4.5-noble)SurvMetrics_0.5.0.tar.gz(r-4.4-noble)
SurvMetrics_0.5.0.tgz(r-4.4-emscripten)SurvMetrics_0.5.0.tgz(r-4.3-emscripten)
SurvMetrics.pdf |SurvMetrics.html
SurvMetrics/json (API)
NEWS

# Install 'SurvMetrics' in R:
install.packages('SurvMetrics', repos = c('https://skyee1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/skyee1/survmetrics/issues

On CRAN:

12 exports 11 stars 1.56 score 161 dependencies 42 scripts 774 downloads

Last updated 2 years agofrom:c366f14c4f. Checks:OK: 5 ERROR: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winERRORAug 24 2024
R-4.3-macERRORAug 24 2024

Exports:BrierCindexCindexCRGtIAEISEIBSMAEpredictSurvProb2survregSDGM1SDGM2SDGM3SDGM4

Dependencies:abindbackportsbase64encbitbit64bootbroombslibcachemcarcarDatacheckmateclicliprclustercmprskcodetoolscolorspacecommonmarkcorrplotcowplotcpp11crayoncurldata.tabledata.treeDerivdiagramDiagrammeRdigestdoBydoParalleldplyrevaluateexactRankTestsfansifarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifggtextglobalsgluegridExtragridtextgtablehighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphisobanditeratorsjpegjquerylibjsonliteKernSmoothkm.ciKMsurvknitrlabelinglatticelavalifecyclelistenvlme4magrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemetsmgcvmicrobenchmarkmimeminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivparallellypbkrtestpecpillarpkgconfigplotrixpngpolsplinepolynomprettyunitsprodlimprogressprogressrPublishpurrrquantregR6randomForestSRCrangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadrriskRegressionrlangrmarkdownrmsrpartrstatixrstudioapisandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalsurvminersurvMiscTH.datatibbletidyrtidyselecttimeregtinytextzdbutf8vctrsviridisviridisLitevisNetworkvroomwithrxfunxml2xtableyamlzoo

Predictive Evaluation Metrics in Survival Analysis

Rendered fromSurvMetrics-vignette.Rmdusingknitr::rmarkdownon Aug 24 2024.

Last update: 2022-01-02
Started: 2021-08-07