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 modelbased decision trees based on random forests methodology. The main input function mobforest.analysis() takes all input parameters to construct trees, compute outofbag errors, predictions, and overall accuracy of forest. The algorithm performs parallel computation using cluster functions within 'parallel' package.
Package details 


Author  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] 
Maintainer  Kasey Jones <[email protected]> 
License  GPL (>= 2) 
Version  1.3.0 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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