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'))

Peer review:

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 118 downloads 4 exports 12 dependencies

Last updated 5 years agofrom:dfc67dca75. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-linuxOKOct 23 2024

Exports:cvfit_pred_foldrandomly_assignrocplot

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixplyrpROCRcppRcppEigenshapesurvival