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LogicForest (version 2.1.2)

Logic Forest

Description

Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) .

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Version

Install

install.packages('LogicForest')

Monthly Downloads

248

Version

2.1.2

License

GPL-3

Maintainer

Melica Nikahd

Last Published

July 14th, 2025

Functions in LogicForest (2.1.2)

predict.logreg2

Internal Logic Forest Functions
print.LFprediction

Print method for logic forest predictions
logforest

Logic Forest & Logic Survival Forest
pimp.mat.nonbin

Predictor Importance Matrix - Regression
pimp.import

Predictor Importance - Variables and Interactions
predict.logforest

Predict method for logic forest models
print.logforest

Print method for logic forest models
frame.logreg2

INTERNAL FUNCTION TO EVALUATE IMPORTANCE OF PREDICTOR COMBINATIONS
find.ctree

Function to find complement of the original tree and find complement PIs ### Internal Logic Forest Functions
proportion.positive

Internal Logic Forest Functions
TTab

Truth table
prime.imp

Internal Logic Forest Functions
Perms

Internal Logic Forest Functions
pimp.mat.bin

Predictor Importance Matrix - Classification
p.combos

Internal Logic Forest Functions