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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.

Type Size Name Uploaded Downloads Labels
conda 30.5 kB | noarch/r-roccv-1.2-r43h142f84f_0.tar.bz2  10 months and 18 hours ago 16 main
conda 30.1 kB | noarch/r-roccv-1.2-r42h142f84f_0.tar.bz2  2 years and 4 months ago 46 main
conda 30.1 kB | noarch/r-roccv-1.2-r36h6115d3f_0.tar.bz2  4 years and 8 months ago 116 main

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