amesHousing2018 | Ames housing data 2018 |
amesHousing2018_NorthAmes | Ames housing data 2018 |
amesHousing2018_raw | Ames housing data 2018 |
ames_rf_pred | Ames random forest model predictions and shap values |
ames_rf_shap | Ames random forest model predictions and shap values |
as_logical_index | Assure a full length logical index |
cheem_ls | Preprocessing for use in shiny app |
chocolates | Chocolates dataset |
chocolates_svm_pred | Chocolate svm model predictions and shap values |
chocolates_svm_shap | Chocolate svm model predictions and shap values |
color_scale_of | Suggest a color and fill scale. |
colour_scale_of | Suggest a color and fill scale. |
contains_nonnumeric | Check if a vector contains non-numeric character |
devMessage | Development message |
global_view | Linked 'plotly' display, global view of data and attribution space. |
global_view_df_1layer | Create the plot data.frame for the global linked plotly display. |
global_view_legwork | The legwork behind the scenes for the global view |
ifDev | Evaluate if development |
is_discrete | Check if a vector is discrete |
is_diverging | Check if a vector diverges a value |
linear_tform | Linear function to help set alpha opacity |
logistic_tform | Logistic function to help set alpha opacity |
model_performance | Extract higher level model performance statistics |
penguin_xgb_pred | Penguins xgb model predictions and shap values |
penguin_xgb_shap | Penguins xgb model predictions and shap values |
problem_type | The type of model for a given Y variable |
proto_basis1d_distribution | Adds the distribution of the row local attributions to a ggtour |
radial_cheem_tour | Cheem tour; 1D manual tour on the selected attribution |
rnorm_from | Draw new samples from the supplied data given its mean and covariances. |
run_app | Runs a shiny app demonstrating manual tours |
subset_cheem | Subset a cheem list |
sug_basis | Suggest a 1D Basis |
sug_manip_var | Suggest a manipulation variable |