Auto Stats

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Documentation for package ‘autostats’ version 0.4.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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
cap_outliers	cap_outliers
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.workflow	get params
get_params.xgb.Booster	get params
impute_recosystem	impute_recosystem
tidy_cforest	tidy conditional inference forest
tidy_ctree	tidy ctree
tidy_formula	tidy formula construction
tidy_glm	tidy glm
tidy_predict	tidy predict
tidy_predict.BinaryTree	tidy predict
tidy_predict.default	tidy predict
tidy_predict.glm	tidy predict
tidy_predict.lgb.Booster	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