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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 133.1 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_3.conda  9 months and 7 days ago 850 main
conda 133.4 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_2.conda  1 year and 10 months ago 1342 main
conda 133.3 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_2.conda  1 year and 10 months ago 1497 main
conda 132.4 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_1.tar.bz2  2 years and 6 months ago 1843 main
conda 132.5 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_1.tar.bz2  2 years and 6 months ago 1705 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r40hc72bb7e_0.tar.bz2  3 years and 3 months ago 2109 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_0.tar.bz2  3 years and 3 months ago 2491 main

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