Model based Random Forest analysis

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Documentation for package ‘mobForest’ version 1.2

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mobForest-package Random Forest methodology for model-based recursive partitioning
bootstrap Model-based Random Forest Analysis
computeAcc Predictive accuracy estimates across trees for logistic regression model
computeMSE Predictive accuracy estimates (MSE) across trees for linear or poisson regression model.
computeR2 Predictive accuracy estimates across trees for linear or poisson regression model
getmobForestObject.GLM Model-based Random Forest Analysis
getmobForestObject.LM Model-based Random Forest Analysis
getPredictedValues Predictions
getPredictedValues-method Get fitted values from mobForestOutput object
getPredictedValues-method Class '"mobForestOutput"'
getPredictedValues-methods Get fitted values from mobForestOutput object
getVarimp Variable Importance
getVarimp-method Class '"mobForestOutput"'
logistic_accuracy Contingency table: Predictive Vs Observed outcome
mobForest Random Forest methodology for model-based recursive partitioning
mobForestAnalysis Model-based Random Forest Analysis
mobForestControl-class Class '"mobForestControl"'
mobForestOutput-class Class '"mobForestOutput"'
mobForest_control Control parameters for random forest
mobForest_output Model-based Random forest Object
mob_RF_Tree model based recursive partitioning - randomized subset of partition variables considered during each split.
predictionOutput-class Class '"predictionOutput"'
prediction_output Predictions and predictive accuracy
PredictiveAccuracy Predictive Performance
PredictiveAccuracy-method Predictive Performance
PredictiveAccuracy-method Class '"mobForestOutput"'
PredictiveAccuracy-methods Predictive Performance
print.predAccuracyEstimates Predictive Accuracy Report
residualPlot Residual Diagnostics
residualPlot-method Class '"mobForestOutput"'
show-method Class '"mobForestOutput"'
stringFormula formula converted to character format
treePredictions Predictions from tree model
varimplot Variable importance plot
varimplot-method Class '"mobForestOutput"'
varimpOutput-class Class '"varimpOutput"'
varimp_output Variable importance