Auto Stats
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Documentation for package ‘autostats’ version 0.3.0
Help Pages
| 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 |