.as_int                 Convenience function used in "simulater"
.as_num                 Convenience function used in "simulater"
MAE                     Mean Absolute Error
RMSE                    Root Mean Squared Error
Rsq                     R-squared
auc                     Area Under the RO Curve (AUC)
catalog                 Catalog sales for men's and women's apparel
confint_robust          Confidence interval for robust estimators
confusion               Confusion matrix
crs                     Collaborative Filtering
crtree                  Classification and regression trees based on
                        the rpart package
cv.crtree               Cross-validation for Classification and
                        Regression Trees
cv.gbt                  Cross-validation for Gradient Boosted Trees
cv.nn                   Cross-validation for a Neural Network
cv.rforest              Cross-validation for a Random Forest
direct_marketing        Direct marketing data
dtree                   Create a decision tree
dtree_parser            Parse yaml input for dtree to provide (more)
                        useful error messages
dvd                     Data on DVD sales
evalbin                 Evaluate the performance of different (binary)
                        classification models
evalreg                 Evaluate the performance of different
                        regression models
find_max                Find maximum value of a vector
find_min                Find minimum value of a vector
gbt                     Gradient Boosted Trees using XGBoost
houseprices             Houseprices
ideal                   Ideal data for linear regression
kaggle_uplift           Kaggle uplift
ketchup                 Data on ketchup choices
logistic                Logistic regression
minmax                  Calculate min and max before standardization
mnl                     Multinomial logistic regression
movie_contract          Movie contract decision tree
nb                      Naive Bayes using e1071::naiveBayes
nn                      Neural Networks using nnet
onehot                  One hot encoding of data.frames
pdp_plot                Create Partial Dependence Plots
plot.confusion          Plot method for the confusion matrix
plot.crs                Plot method for the crs function
plot.crtree             Plot method for the crtree function
plot.dtree              Plot method for the dtree function
plot.evalbin            Plot method for the evalbin function
plot.evalreg            Plot method for the evalreg function
plot.gbt                Plot method for the gbt function
plot.logistic           Plot method for the logistic function
plot.mnl                Plot method for the mnl function
plot.mnl.predict        Plot method for mnl.predict function
plot.model.predict      Plot method for model.predict functions
plot.nb                 Plot method for the nb function
plot.nb.predict         Plot method for nb.predict function
plot.nn                 Plot method for the nn function
plot.regress            Plot method for the regress function
plot.repeater           Plot repeated simulation
plot.rforest            Plot method for the rforest function
plot.rforest.predict    Plot method for rforest.predict function
plot.simulater          Plot method for the simulater function
plot.uplift             Plot method for the uplift function
pred_plot               Prediction Plots
predict.crtree          Predict method for the crtree function
predict.gbt             Predict method for the gbt function
predict.logistic        Predict method for the logistic function
predict.mnl             Predict method for the mnl function
predict.nb              Predict method for the nb function
predict.nn              Predict method for the nn function
predict.regress         Predict method for the regress function
predict.rforest         Predict method for the rforest function
predict_model           Predict method for model functions
print.crtree.predict    Print method for predict.crtree
print.gbt.predict       Print method for predict.gbt
print.logistic.predict
                        Print method for logistic.predict
print.mnl.predict       Print method for mnl.predict
print.nb.predict        Print method for predict.nb
print.nn.predict        Print method for predict.nn
print.regress.predict   Print method for predict.regress
print.rforest.predict   Print method for predict.rforest
print_predict_model     Print method for the model prediction
profit                  Calculate Profit based on cost:margin ratio
radiant.model           radiant.model
radiant.model-deprecated
                        Deprecated function(s) in the radiant.model
                        package
radiant.model_viewer    Launch radiant.model in the Rstudio viewer
radiant.model_window    Launch radiant.model in an Rstudio window
ratings                 Movie ratings
regress                 Linear regression using OLS
remove_comments         Remove comments from formula before it is
                        evaluated
render.DiagrammeR       Method to render DiagrammeR plots
repeater                Repeated simulation
rforest                 Random Forest using Ranger
rig                     Relative Information Gain (RIG)
scale_df                Center or standardize variables in a data frame
sdw                     Standard deviation of weighted sum of variables
sensitivity             Method to evaluate sensitivity of an analysis
sensitivity.dtree       Evaluate sensitivity of the decision tree
sim_cleaner             Clean input command string
sim_cor                 Simulate correlated normally distributed data
sim_splitter            Split input command string
sim_summary             Print simulation summary
simulater               Simulate data for decision analysis
store.crs               Deprecated: Store method for the crs function
store.mnl.predict       Store predicted values generated in the mnl
                        function
store.model             Store residuals from a model
store.model.predict     Store predicted values generated in model
                        functions
store.nb.predict        Store predicted values generated in the nb
                        function
store.rforest.predict   Store predicted values generated in the rforest
                        function
summary.confusion       Summary method for the confusion matrix
summary.crs             Summary method for Collaborative Filter
summary.crtree          Summary method for the crtree function
summary.dtree           Summary method for the dtree function
summary.evalbin         Summary method for the evalbin function
summary.evalreg         Summary method for the evalreg function
summary.gbt             Summary method for the gbt function
summary.logistic        Summary method for the logistic function
summary.mnl             Summary method for the mnl function
summary.nb              Summary method for the nb function
summary.nn              Summary method for the nn function
summary.regress         Summary method for the regress function
summary.repeater        Summarize repeated simulation
summary.rforest         Summary method for the rforest function
summary.simulater       Summary method for the simulater function
summary.uplift          Summary method for the uplift function
test_specs              Add interaction terms to list of test variables
                        if needed
uplift                  Evaluate uplift for different (binary)
                        classification models
var_check               Check if main effects for all interaction
                        effects are included in the model
varimp                  Variable importance using the vip package and
                        permutation importance
varimp_plot             Plot permutation importance
write.coeff             Write coefficient table for linear and logistic
                        regression
