Description:

Logic Forest: 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.

Changes to previous version:

Fetched by r-cran-robot on 2013-04-01 00:00:06.077571

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Tags: R-Cran

Archive: download here

Other available revisons

Version	Changelog	Date
2.0.0	Fetched by r-cran-robot on 2013-04-01 00:00:06.077571	September 25, 2011, 08:16:08
1.0	Fetched by r-cran-robot on 2011-09-18 08:16:05.601176	March 24, 2011, 08:16:13

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