API for zamorarr/riskslimr
Implementation of RiskSLIM model in R

Global functions
%>% Man page
augment Man page
augment.lcpa_fit Source code
bake Man page
bake.step_discretize2 Source code
bake.step_discretize_floor Source code
bake.step_dummy_threshold Source code
compute_lcpa Source code
eval_accuracy Man page Source code
eval_accuracy.lcpa_fit Source code
eval_auc Man page Source code
eval_auc.lcpa_fit Source code
eval_cal Man page Source code
eval_cal.lcpa_fit Source code
eval_logloss Man page Source code
eval_logloss.lcpa_fit Source code
eval_precision Man page Source code
eval_precision.lcpa_fit Source code
eval_recall Man page Source code
eval_recall.lcpa_fit Source code
feature_matrix_from_data Source code
floor_n Man page Source code
glance Man page
glance.lcpa_fit Source code
lcpa Man page Source code
lcpa.data.frame Man page Source code
lcpa.default Man page Source code
lcpa_cv Source code
loss_generator Source code
loss_grad_generator Source code
plot.lcpa_fit Source code
predict Man page
predict.lcpa_fit Source code
prep Man page
prep.step_discretize2 Source code
prep.step_discretize_floor Source code
prep.step_dummy_threshold Source code
print.lcpa_fit Source code
prob_to_score Source code
random_logfile Source code
reexports Man page
response_name_from_formula Source code
response_var_from_data Source code
riskslimr Man page
riskslimr-package Man page
score_to_prob Source code
step_discretize2 Source code
step_discretize2_new Source code
step_discretize_floor Source code
step_discretize_floor_new Source code
step_dummy_threshold Source code
step_dummy_threshold_new Source code
summary.lcpa_fit Source code
tidy Man page
tidy.lcpa_fit Source code
zamorarr/riskslimr documentation built on Sept. 2, 2021, 7:38 p.m.