proportion.positive

<p>This function is called by <code>predict.logforest</code>. It is not intended to be used independently of this function. It determined the proportion of logic regression trees within a logic forest that predict a class of one for new observations.  Additionally it returns predicted values for new observations.</p>

internal

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. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.

Melica Nikahd

LogicForest

Logic Forest

Bethany Wolf

Madison Hyer

proportion.positive function

Internal Logic Forest Functions — proportion.positive

Internal Logic Forest Functions

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proportion.positive: Internal Logic Forest Functions

Description

Usage

Arguments

Value