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:

5.66 score 11 stars 61 scripts 1.4k downloads 12 exports 161 dependencies

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

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winERRORNov 22 2024
R-4.3-macERRORNov 22 2024

Exports:BrierCindexCindexCRGtIAEISEIBSMAEpredictSurvProb2survregSDGM1SDGM2SDGM3SDGM4

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

Predictive Evaluation Metrics in Survival Analysis

Rendered fromSurvMetrics-vignette.Rmdusingknitr::rmarkdownon Nov 22 2024.

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