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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  8 months and 15 days ago 798 main
conda 133.4 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_2.conda  1 year and 9 months ago 1295 main
conda 133.3 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_2.conda  1 year and 9 months ago 1450 main
conda 132.4 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_1.tar.bz2  2 years and 5 months ago 1795 main
conda 132.5 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_1.tar.bz2  2 years and 5 months ago 1659 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r40hc72bb7e_0.tar.bz2  3 years and 2 months ago 2059 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_0.tar.bz2  3 years and 2 months ago 2443 main

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