mobForest: Model based Random Forest analysis

This package implements random forest method for model based recursive partitioning. The mob() function, developed by Zeileis et al (2008), within party package, is modified to contruct model-based decesion trees based on random forest methodology. The main input function mobForestAnalysis() takes all input parameters to construct trees, compute out-of-bag errors, predictions, and overall accuracy of forest. The algorithm performs parallel computation using clusterApply() function within 'parallel' package.

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