Package: tdPRC 1.0.0

tdPRC: Time-Dependent Precision-Recall Curve Estimation for Right-Censored Data

This contains functions that can be used to estimate the time-dependent precision-recall curve (PRC) and the corresponding area under the PRC for right-censored survival data. It also compute time-dependent ROC curve and its corresponding area under the ROC curve (AUC). See Beyene, Chen and Kifle (2024) <doi:10.1002/bimj.202300135>.

Authors:Kassu Mehari Beyene [aut, cre], Ding-Geng Chen [ctb], Yehenew Getachew Kifle [ctb]

tdPRC_1.0.0.tar.gz
tdPRC_1.0.0.zip(r-4.7-any)tdPRC_1.0.0.zip(r-4.6-any)tdPRC_1.0.0.zip(r-4.5-any)
tdPRC_1.0.0.tgz(r-4.6-any)tdPRC_1.0.0.tgz(r-4.5-any)
tdPRC_1.0.0.tar.gz(r-4.7-any)tdPRC_1.0.0.tar.gz(r-4.6-any)
tdPRC_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tdPRC/json (API)

# Install 'tdPRC' in R:
install.packages('tdPRC', repos = c('https://kmbeyene.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • mayo - Mayo Marker Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 278 downloads 2 exports 86 dependencies

Last updated from:4f41bc858e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK151
source / vignettesOK228
linux-releaseOK138
macos-releaseOK130
macos-oldrelOK115
windows-develOK108
windows-releaseOK99
windows-oldrelOK103
wasm-releaseOK104

Exports:CsurvtdPRC

Dependencies:askpassbase64encbootbslibcachemclicodetoolscpp11crosstalkcrscubaturecurldata.tabledigestdoParalleldoRNGdplyrevaluatefarverfastmapfontawesomeforeachfsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmemoisemimenpopensslotelpillarpkgconfigplotlypromisespurrrquadprogquantregR6rappdirsRColorBrewerRcpprlangrmarkdownrngtoolsS7sassscalesSparseMstringistringrsurvidmsurvivalsystibbletidyrtidyselecttinytexTPmsmutf8vctrsviridisLitewithrxfunyaml