Model Menu for Radiant: Business Analytics using R and Shiny
Calculate Profit based on cost:margin ratio
Deprecated function(s) in the radiant.model package
radiant.model
Launch radiant.model in the Rstudio viewer
Launch radiant.model in an Rstudio window
Store predicted values generated in model functions
Store residuals from a model
Store predicted values generated in the nb function
Store predicted values generated in the rforest function
Summary method for the confusion matrix
Summary method for Collaborative Filter
Summary method for the crtree function
Summary method for the dtree function
Summary method for the evalbin function
Summary method for the evalreg function
Summary method for the gbt function
Summary method for the uplift function
Add interaction terms to list of test variables if needed
Print method for the model prediction
Standard deviation of weighted sum of variables
Find minimum value of a vector
Area Under the RO Curve (AUC)
Confidence interval for robust estimators
Confusion matrix
Collaborative Filtering
Classification and regression trees based on the rpart package
Cross-validation for Classification and Regression Trees
Cross-validation for Gradient Boosted Trees
Cross-validation for a Neural Network
Plot method for the evalreg function
Cross-validation for a Random Forest
Convenience function used in "simulater"
Convenience function used in "simulater"
Create a decision tree
Parse yaml input for dtree to provide (more) useful error messages
Evaluate the performance of different (binary) classification models
Evaluate the performance of different regression models
Find maximum value of a vector
Gradient Boosted Trees using XGBoost
Logistic regression
Mean Absolute Error
Calculate min and max before standardization
Multinomial logistic regression
Naive Bayes using e1071::naiveBayes
Plot method for the evalbin function
Neural Networks using nnet
One hot encoding of data.frames
Create Partial Dependence Plots
Plot method for the confusion matrix
Plot method for the crs function
Plot method for the crtree function
Plot method for the dtree function
Plot method for the gbt function
Plot method for the logistic function
Plot method for mnl.predict function
Plot method for the mnl function
Plot method for model.predict functions
Print method for mnl.predict
Plot method for nb.predict function
Plot method for the nb function
Plot method for the nn function
Plot method for the regress function
Plot repeated simulation
Plot method for rforest.predict function
Plot method for the rforest function
Plot method for the simulater function
Plot method for the uplift function
Prediction Plots
Predict method for the crtree function
Print method for predict.nb
Print method for predict.nn
Predict method for the gbt function
Predict method for the logistic function
Predict method for the mnl function
Predict method for the nb function
Print method for predict.regress
Print method for predict.rforest
Predict method for the nn function
Predict method for the regress function
Predict method for the rforest function
Predict method for model functions
Print method for predict.crtree
Print method for predict.gbt
Print method for logistic.predict
Linear regression using OLS
Remove comments from formula before it is evaluated
Method to render DiagrammeR plots
Repeated simulation
Random Forest using Ranger
Relative Information Gain (RIG)
Root Mean Squared Error
R-squared
Center or standardize variables in a data frame
Evaluate sensitivity of the decision tree
Method to evaluate sensitivity of an analysis
Clean input command string
Simulate correlated normally distributed data
Split input command string
Print simulation summary
Simulate data for decision analysis
Deprecated: Store method for the crs function
Store predicted values generated in the mnl function
Summary method for the logistic function
Summary method for the mnl function
Summary method for the nb function
Summary method for the nn function
Summary method for the regress function
Summarize repeated simulation
Summary method for the rforest function
Summary method for the simulater function
Evaluate uplift for different (binary) classification models
Check if main effects for all interaction effects are included in the ...
Variable importance using the vip package and permutation importance
Plot permutation importance
Write coefficient table for linear and logistic regression
The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Useful links