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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.
Getting started
Browse package contents
Package details |
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| Author | Ben Sherwood [aut, cre] |
| Maintainer | Ben Sherwood <ben.sherwood@ku.edu> |
| License | MIT + file LICENSE |
| Version | 1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the roccv package in your browser
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