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
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
pre_rules_mixed_effects 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
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 March 13, 2020, 2:23 a.m.