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

Global functions
CV_kernel Man page Source code
CV_mod Man page Source code
fit_lm_regularized Man page Source code
getMCR_internal Man page Source code
get_MR_general Man page Source code
get_MR_lm Source code
get_XtX_perm_lm Source code
get_bound_tightness Source code
get_e0_hinge Source code
get_e0_lm Man page Source code
get_e1_hinge Source code
get_e1_lm Source code
get_e1_lm_rand Source code
get_empirical_MCR Man page Source code
get_full_sample Man page Source code
get_h_min_lm_regularized Source code
get_h_min_lm_unregularized Source code
get_hinge_grad Source code
get_hinge_obj Source code
get_suff_stats_kernel Man page Source code
get_suff_stats_linear_hinge Source code
get_suff_stats_lm Source code
get_ytX_perm_lm Source code
hinge_pred Man page Source code
hinge_set Man page
hinge_w Man page Source code
kernel_regression_prediction Man page Source code
mcr_set Man page
norm_RKHS Man page Source code
optimize_hinge_general Man page Source code
plot_empirical_MCR_searchpath Man page Source code
plot_empirical_MCR_switch_orig Source code
precompute_mcr_objects_and_functions Man page Source code
pred_RKHS Source code
aaronjfisher/mcr documentation built on Jan. 2, 2020, 4:38 p.m.