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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  10 months and 29 days ago 939 main
conda 133.1 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_3.conda  10 months and 29 days ago 1005 main
conda 133.4 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_2.conda  2 years and 9 days ago 1462 main
conda 133.3 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_2.conda  2 years and 9 days ago 1611 main
conda 132.4 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_1.tar.bz2  2 years and 8 months ago 1963 main
conda 132.5 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_1.tar.bz2  2 years and 8 months ago 1817 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r40hc72bb7e_0.tar.bz2  3 years and 5 months ago 2226 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_0.tar.bz2  3 years and 5 months ago 2610 main

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