LogicForest (2.1.0)

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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 construct an ensemble of logic regression models. LBoost uses a combination of boosting and cross-validation to construct an 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, fscaret

Released over 2 years ago.


2 previous versions

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Related packages: BayesTree, ElemStatLearn, GAMBoost, LogicReg, ROCR, RXshrink, arules, caret, e1071, earth, elasticnet, gbm, glmpath, grplasso, ipred, kernlab, klaR, lars, lasso2, maptree(20 best matches, based on common tags.)


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