API for pre
Prediction Rule Ensembles

Global functions
.get_most_sparse_rule Source code
.get_rules_mat_dense Source code
.get_rules_mat_sparse Source code
Hsquaredj Source code
add_escapes Source code
bsnullinteract Man page Source code
caret_pre_model Man page
carrillo Man page
coef.gpe Man page Source code
coef.pre Man page Source code
corplot Man page Source code
cvpre Man page Source code
delete_duplicates_complements Source code
eTerm Man page Source code
explain Man page Source code
get_conditions Source code
get_cv.glmnet_args Source code
get_factor_predictor_term Source code
get_intercept_count Source code
get_intercept_logistic Source code
get_intercept_multinomial Source code
get_modmat Source code
get_y_learn_count Source code
get_y_learn_logistic Source code
get_y_learn_multinomial Source code
gpe Man page Source code
gpe_cv.glmnet Man page Source code
gpe_earth Man page Source code
gpe_linear Man page Source code
gpe_pretty_labels Source code
gpe_rules_pre Man page Source code
gpe_sample Man page Source code
gpe_trees Man page Source code
image.scale Source code
importance Man page Source code
importance.pre Man page Source code
interact Man page Source code
is_almost_eq Source code
lTerm Man page Source code
maxdepth_sampler Man page Source code
pairplot Man page Source code
plot.pre Man page Source code
pre Man page Source code
pre_rules Source code
predict.gpe Man page Source code
predict.pre Man page Source code
print.gpe Man page Source code
print.pre Man page Source code
rTerm Man page Source code
rare_level_sampler Man page
singleplot Man page Source code
summary.gpe Man page Source code
summary.pre Man page Source code
var_bin Source code
pre documentation built on June 11, 2022, 1:10 a.m.