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Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy), SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value).

copied from cf-staging / r-reportroc

Installers

  • noarch v3.6

conda install

To install this package run one of the following:
conda install conda-forge::r-reportroc

Description


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