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This package contains various tools for working with and evaluating cross-validated area under the ROC curve (AUC) estimators. The primary functions of the package are ci.cvAUC and ci.pooled.cvAUC, which report cross-validated AUC and compute confidence intervals for cross-validated AUC estimates based on influence curves for i.i.d. and pooled repeated measures data, respectively. One benefit to using influence curve based confidence intervals is that they require much less computation time than bootstrapping methods. The utility functions, AUC and cvAUC, are simple wrappers for functions from the ROCR package.

copied from cf-staging / r-cvauc
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conda 134.5 kB | noarch/r-cvauc-1.1.4-r44hc72bb7e_3.conda  1 year and 25 days ago 1064 main
conda 133.1 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_3.conda  1 year and 25 days ago 1160 main
conda 133.4 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_2.conda  2 years and 2 months ago 1556 main
conda 133.3 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_2.conda  2 years and 2 months ago 1708 main
conda 132.4 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_1.tar.bz2  2 years and 10 months ago 2060 main
conda 132.5 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_1.tar.bz2  2 years and 10 months ago 1911 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r40hc72bb7e_0.tar.bz2  3 years and 7 months ago 2322 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_0.tar.bz2  3 years and 7 months ago 2698 main

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