mobForest (1.2)

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Model based Random Forest analysis.

http://cran.r-project.org/web/packages/mobForest

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 about 2 years ago.


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