Man pages for aaronjfisher/mcr
Computes model class reliance, i.e., the most and least that models from a class may rely on variables of interest

CV_kernelCross validate a kernel-least-squares, or kernel-regression...
CV_modGeneral function for cross-validation
fit_lm_regularizedCan be used to fit either kernel models or regularized linear...
get_e0_lmGet standard ("original") mean-squared-error for linear or...
get_full_sampleHelper function for loop invariant calculations in binary...
getMCR_internalCalculate MCR- or MCR+
get_suff_stats_kernelGet loop-invariant quantities for empirical MCR binary search...
hinge_setCalculate the hinge loss
kernel_regression_predictionGet prediction from a (Nadaraya–Watson) kernel regression...
mcr_setCompute MR & MCR
norm_RKHSGet function norm for regression models in a RKHS
optimize_hinge_generalOptimize a linear classifier with possibly negative...
plot_empirical_MCR_searchpathPlot all models found during MCR binary search, and the...
aaronjfisher/mcr documentation built on Jan. 2, 2020, 4:38 p.m.