Automated feature selection caret (fscaret)

This package provide fast and automated feature selection based on caret package modeling methods. The main advantage of this extension is that it requires minimum user involvement. Also the variety of used methods in combination with the scaling according to RMSE or MSE obtained from models profit the user. The idea is based on the assumption that the variety of models will balance the roughness of calculations (default model settings are applied). On Windows OS the time limiting function is off also the number of cores used is set to 1.


ll{ Package: fscaret Type: Package Version: Date: 2014-04-14 License: GPL-2 | GPL-3 }


Kuhn M. (2008) Building Predictive Models in R Using the caret Package Journal of Statistical Software 28(5) http://www.jstatsoft.org/. Szlek J, Paclawski A, Lau R, Jachowicz R, Mendyk A. Heuristic modeling of macromolecule release from PLGA microspheres. International Journal of Nanomedicine. 2013:8(1); 4601 - 4611. http://www.dovepress.com/international-journal-of-nanomedicine-journal.

See Also

train, trainControl, rfeControl by Max Kuhn and predict base utilities

  • fscaret-package
Documentation reproduced from package fscaret, version, License: GPL-2 | GPL-3

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