mobForest (1.3.0)

Model Based Random Forest Analysis.

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

Functions to 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 mobforest.analysis() takes all input parameters to construct trees, compute out-of-bag errors, predictions, and overall accuracy of forest. The algorithm performs parallel computation using cluster functions within 'parallel' package.

Maintainer: Kasey Jones
Author(s): Nikhil Garge [aut], Barry Eggleston [aut], Georgiy Bobashev [aut], Benjamin Carper [cre], Kasey Jones [ctb, cre], Torsten Hothorn [ctb], Kurt Hornik [ctb], Carolin Strobl [ctb], Achim Zeileis [ctb]

License: GPL (>= 2)

Uses: modeltools, party, sandwich, strucchange, zoo, lattice, mlbench, testthat

Released about 2 years ago.