API for autostats
Auto Stats

Global functions
%>% Man page
auto_anova Man page Source code
auto_boxplot Man page Source code
auto_cor Man page Source code
auto_model_accuracy Man page Source code
auto_t_test Man page Source code
auto_tune_xgboost Man page Source code
auto_variable_contributions Man page Source code
calc_cor Source code
calc_xicor Source code
cap_outliers Man page Source code
check_same_dummy Source code
create_monotone_constraints Man page Source code
determine_pred_type Man page Source code
eval_preds Man page Source code
f_charvec_to_formula Man page Source code
f_formula_to_charvec Man page
f_modify_formula Man page
get_params Man page Source code
get_params.workflow Man page Source code
get_params.xgb.Booster Man page Source code
get_unique_col_names Source code
impute_recosystem Man page Source code
plot_coefs_glm Man page Source code
plot_ctree Man page Source code
plot_varimp_cforest Man page Source code
plot_varimp_xgboost Man page Source code
tidy_cforest Man page Source code
tidy_ctree Man page Source code
tidy_formula Man page
tidy_glm Man page Source code
tidy_predict Man page Source code
tidy_predict.BinaryTree Man page Source code
tidy_predict.Rcpp_ENSEMBLE Man page Source code
tidy_predict.default Man page Source code
tidy_predict.glm Man page Source code
tidy_predict.lgb.Booster Man page Source code
tidy_predict.xgb.Booster Man page Source code
tidy_shap Man page Source code
tidy_xgboost Man page Source code
visualize_model Man page Source code
visualize_model.BinaryTree Man page Source code
visualize_model.RandomForest Man page Source code
visualize_model.default Man page Source code
visualize_model.glm Man page Source code
visualize_model.multinom Man page Source code
visualize_model.xgb.Booster Man page Source code
autostats documentation built on Nov. 10, 2022, 6:13 p.m.