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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 15 days ago 1042 main
conda 133.1 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_3.conda  1 year and 15 days ago 1130 main
conda 133.4 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_2.conda  2 years and 1 month ago 1541 main
conda 133.3 kB | noarch/r-cvauc-1.1.4-r43hc72bb7e_2.conda  2 years and 1 month ago 1690 main
conda 132.4 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_1.tar.bz2  2 years and 9 months ago 2044 main
conda 132.5 kB | noarch/r-cvauc-1.1.4-r42hc72bb7e_1.tar.bz2  2 years and 9 months ago 1895 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r40hc72bb7e_0.tar.bz2  3 years and 6 months ago 2304 main
conda 131.7 kB | noarch/r-cvauc-1.1.4-r41hc72bb7e_0.tar.bz2  3 years and 6 months ago 2680 main

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