Model based Random Forest analysis

The following free r packages , r projects , r code , and r examples are used for Model based Random Forest analysis. This package implements random forest method for model based recursive partitioning.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
DESCRIPTION 1010
computeAcc.Rd 1001
computeMSE.Rd 624
computeR2.Rd 842
getPredictedValues-methods.Rd 466
getPredictedValues.Rd 1797
getVarimp.Rd 1327
logistic_accuracy.Rd 885
mobForest-package.Rd 1932
mobForestAnalysis.Rd 5436
mobForestControl-class.Rd 1256
mobForestOutput-class.Rd 3117
mobForest_control.Rd 2462
mobForest_output.Rd 1198
mob_RF_Tree.Rd 1927
predictionOutput-class.Rd 1259
prediction_output.Rd 1143
PredictiveAccuracy-methods.Rd 443
PredictiveAccuracy.Rd 2880
print.predAccuracyEstimates.Rd 984
residualPlot.Rd 1704
stringFormula.Rd 422
treePredictions.Rd 701
varimplot.Rd 1299
varimpOutput-class.Rd 859
varimp_output.Rd 1132
MD5 1672
NAMESPACE 536
mobF_classes_v7_final.R 14280
mobF_functions_v7_final.R 18688

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