Man pages for radiant-rstats/radiant.model
Model Menu for Radiant: Business Analytics using R and Shiny

aucArea Under the Curve (AUC)
catalogCatalog sales for men's and women's apparel
confint_robustConfidence interval for robust estimators
confusionConfusion matrix
crsCollaborative Filtering
crtreeClassification and regression trees based on the rpart...
direct_marketingDirect marketing data
dtreeCreate a decision tree
dtree_parserParse yaml input for dtree to provide (more) useful error...
dvdData on DVD sales
evalbinEvaluate the performance of different (binary) classification...
evalregEvaluate the performance of different regression models
find_maxFind maximum value of a vector
find_minFind minimum value of a vector
housepricesHouseprices
idealIdeal data for linear regression
logisticLogistic regression
minmaxCalculate min and max before standardization
movie_contractMovie contract decision tree
nbNaive Bayes using e1071::naiveBayes
nnNeural Networks
plot.confusionPlot method for the confusion matrix
plot.crsPlot method for the crs function
plot.crtreePlot method for the crtree function
plot.dtreePlot method for the dtree function
plot.evalbinPlot method for the evalbin function
plot.evalregPlot method for the evalreg function
plot.logisticPlot method for the logistic function
plot.model.predictPlot method for model.predict functions
plot.nbPlot method for the nb function
plot.nb.predictPlot method for nb.predict function
plot.nnPlot method for the nn function
plot.regressPlot method for the regress function
plot.repeaterPlot repeated simulation
plot.simulaterPlot method for the simulater function
predict.crtreePredict method for the crtree function
predict.logisticPredict method for the logistic function
predict_modelPredict method for model functions
predict.nbPredict method for the nb function
predict.nnPredict method for the nn function
predict.regressPredict method for the regress function
print.crtree.predictPrint method for predict.crtree
print.logistic.predictPrint method for logistic.predict
print.nb.predictPrint method for predict.nb
print.nn.predictPrint method for predict.nn
print_predict_modelPrint method for the model prediction
print.regress.predictPrint method for predict.regress
radiant.modelradiant.model
radiant.model-deprecatedDeprecated function(s) in the radiant.model package
radiant.model_viewerLaunch radiant.model in the Rstudio viewer
radiant.model_windowLaunch radiant.model in an Rstudio window
ratingsMovie ratings
regressLinear regression using OLS
render.DiagrammeRMethod to render DiagrammeR plots
repeaterRepeated simulation
scaledfCenter or standardize variables in a data frame
sdwStandard deviation of weighted sum of variables
sensitivityMethod to evaluate sensitivity of an analysis
sensitivity.dtreeEvaluate sensitivity of the decision tree
sim_cleanerClean input command string
sim_corSimulate correlated normally distributed data
sim_splitterSplit input command string
sim_summaryPrint simulation summary
simulaterSimulate data for decision analysis
store.crsDeprecated: Store method for the crs function
store.modelStore residuals from a model
store.model.predictStore predicted values generated in model functions
store.nb.predictStore predicted values generated in the nb function
summary.confusionSummary method for the confusion matrix
summary.crsSummary method for Collaborative Filter
summary.crtreeSummary method for the crtree function
summary.dtreeSummary method for the dtree function
summary.evalbinSummary method for the evalbin function
summary.evalregSummary method for the evalreg function
summary.logisticSummary method for the logistic function
summary.nbSummary method for the nb function
summary.nnSummary method for the nn function
summary.regressSummary method for the regress function
summary.repeaterSummarize repeated simulation
summary.simulaterSummary method for the simulater function
test_specsAdd interaction terms to list of test variables if needed
var_checkCheck if main effects for all interaction effects are...
write.coeffWrite coefficient table for linear and logistic regression
radiant-rstats/radiant.model documentation built on Oct. 16, 2018, 10:06 a.m.