LogicForest (2.0.0)
Logic Forest.
http://cran.r-project.org/web/packages/LogicForest
Two classification ensemble methods based on logic regression models. Logforest uses a bagging approach to contruct an ensemble of logic regression models. LBoost uses a combination of boosting and cross-validation to construct and ensemble of logic regression models. Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome.
Maintainer:
Bethany Wolf
Author(s): Bethany Wolf
License: GPL-2
Uses: CircStats, gtools, LogicReg, plotrix
Reverse suggests: caret
Released over 1 year ago.
1 previous version
- LogicForest_1.0. Released almost 3 years ago.
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A review of LogicForest (2.0.0)
HTC Wildfire chargers I went with it for the ease of adding m…
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