Auto Stats


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Documentation for package ‘autostats’ version 0.3.0

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auto_anova auto anova
auto_boxplot auto_boxplot
auto_cor auto correlation
auto_model_accuracy auto model accuracy
auto_tune_xgboost auto_tune_xgboost
auto_t_test auto t test
auto_variable_contributions Plot Variable Contributions
create_monotone_constraints create monotone constraints
eval_preds eval_preds
f_charvec_to_formula charvec to formula
f_formula_to_charvec Formula_rhs to chr vec
f_modify_formula Modify Formula
get_params get params
get_params.xgb.Booster get params
tidy_agtboost tidy agtboost
tidy_cforest tidy conditional inference forest
tidy_ctree tidy ctree
tidy_foci Tidy FOCI
tidy_formula tidy formula construction
tidy_glm tidy glm
tidy_predict tidy predict
tidy_predict.default tidy predict
tidy_predict.glm tidy predict
tidy_predict.Rcpp_ENSEMBLE tidy predict
tidy_predict.xgb.Booster tidy predict
tidy_shap tidy shap
tidy_xgboost tidy xgboost
visualize_model visualize model
visualize_model.BinaryTree visualize model
visualize_model.default visualize model
visualize_model.glm visualize model
visualize_model.multinom visualize model
visualize_model.RandomForest visualize model
visualize_model.xgb.Booster visualize model