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)
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SurvMetrics.pdf |SurvMetrics.html
SurvMetrics/json (API)
NEWS

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

Peer review:

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

On CRAN:

archivedpackagesr-universe

4.21 score 5 stars 65 scripts 677 downloads 12 exports 161 dependencies

Last updated 16 days agofrom:4d7bca2868 (on package/SurvMetrics). Checks:5 OK, 2 ERROR. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 09 2025
R-4.5-winOKJan 09 2025
R-4.5-linuxOKJan 09 2025
R-4.4-winOKJan 09 2025
R-4.4-macOKJan 09 2025
R-4.3-winERRORJan 09 2025
R-4.3-macERRORJan 09 2025

Exports:BrierCindexCindexCRGtIAEISEIBSMAEpredictSurvProb2survregSDGM1SDGM2SDGM3SDGM4

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

Predictive Evaluation Metrics in Survival Analysis

Rendered fromSurvMetrics-vignette.Rmdusingknitr::rmarkdownon Jan 09 2025.

Last update: 2025-01-05
Started: 2025-01-05