Package: longROC 1.0

Alessio Farcomeni

longROC: Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio Markers or Scores

Time-dependent Receiver Operating Characteristic curves, Area Under the Curve, and Net Reclassification Indexes for repeated measures. It is based on methods in Barbati and Farcomeni (2017) <doi:10.1007/s10260-017-0410-2>.

Authors:Alessio Farcomeni

longROC_1.0.tar.gz
longROC_1.0.zip(r-4.7-any)longROC_1.0.zip(r-4.6-any)longROC_1.0.zip(r-4.5-any)
longROC_1.0.tgz(r-4.6-any)longROC_1.0.tgz(r-4.5-any)
longROC_1.0.tar.gz(r-4.7-any)longROC_1.0.tar.gz(r-4.6-any)
longROC_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
longROC/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

1.78 score 5 stars 12 scripts 226 downloads 14 exports 3 dependencies

Last updated from:dcfe57136f (on package/longROC). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develNOTE171
source / vignettesOK152
linux-releaseNOTE169
macos-releaseNOTE162
macos-oldrelNOTE103
windows-develNOTE91
windows-releaseNOTE91
windows-oldrelNOTE103
wasm-releaseOK76

Exports:aucbutstrapbutstrap.nributstrap.smaxaucmaxauc.snriplotAUCplotAUC.splotROCrocroc.ssensspecsensspec.s

Dependencies:latticeMatrixsurvival