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LogicForest (version 2.0.0)

Logic Forest

Description

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.

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Install

install.packages('LogicForest')

Monthly Downloads

290

Version

2.0.0

License

GPL-2

Maintainer

Last Published

July 23rd, 2012

Functions in LogicForest (2.0.0)