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.tar.gz(r-4.5-noble)roccv_1.2.tar.gz(r-4.4-noble)
roccv_1.2.tgz(r-4.4-emscripten)roccv_1.2.tgz(r-4.3-emscripten)
roccv.pdf |roccv.html
roccv/json (API)
NEWS

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

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 153 downloads 4 exports 12 dependencies

Last updated 6 years agofrom:dfc67dca75. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 21 2025
R-4.5-linuxOKJan 21 2025

Exports:cvfit_pred_foldrandomly_assignrocplot

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixplyrpROCRcppRcppEigenshapesurvival