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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 crossvalidation 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.
Package details 


Author  Bethany Wolf 
Date of publication  20140919 00:46:31 
Maintainer  Bethany Wolf <wolfb@musc.edu> 
License  GPL2 
Version  2.1.0 
Package repository  View on CRAN 
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