Package: roccv 1.2

Ben Sherwood

roccv: ROC for Cross Validation Results

Cross validate large genetic data while specifying clinical variables that should always be in the model using the function cv(). An ROC plot from the cross validation data with AUC can be obtained using rocplot(), which also can be used to compare different models. Framework was built to handle genetic data, but works for any data.

Authors:Ben Sherwood [aut, cre]

roccv_1.2.tar.gz
roccv_1.2.zip(r-4.7-any)roccv_1.2.zip(r-4.6-any)
roccv_1.2.tar.gz(r-4.7-any)roccv_1.2.tar.gz(r-4.6-any)
roccv_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
roccv/json (API)

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

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 4 scripts 293 downloads 4 exports 11 dependencies

Last updated from:dfc67dca75. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK102
source / vignettesOK153
linux-releaseOK155
windows-develOK74
windows-releaseOK82
wasm-releaseOK95

Exports:cvfit_pred_foldrandomly_assignrocplot

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixpROCRcppRcppEigenshapesurvival