mobForest (1.2)

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 construct model-based decision trees based on random forests 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.

Maintainer: Nikhil Garge
Author(s): Nikhil Garge, Barry Eggleston and Georgiy Bobashev

License: GPL (>= 2)

Uses: Does not use any package

Released almost 7 years ago.