API for louis-vines/miv.select
A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

Global functions
apply_binning_to_factor_feature Source code
auc Source code
bin_all Man page Source code
bin_factor Source code
bin_numeric Man page Source code
build_iv_table Source code
build_miv_tables Source code
calculate_all_mivs Source code
calculate_miv Source code
check_type_and_bin Source code
create_numeric_frequency_bins Source code
create_numeric_supervised_bins Source code
cut_vector Source code
dependencies Source code
extract_iv_summary Source code
gg_value_labels Source code
plot.binned_factor Source code
plot.binned_features Source code
plot.binned_numeric Source code
plotGAM Source code
plot_gam_feature Source code
predict.binned_factor Source code
predict.binned_features Source code
predict.binned_numeric Source code
print.binned_features Source code
remove_x_axis Source code
reorder_factor_with_largest_group_first Source code
replace_na Source code
roc_curve Source code
safe_log Source code
supervised_factor_grouping Source code
louis-vines/miv.select documentation built on March 17, 2019, 2:49 p.m.