LogicForest: Logic Forest

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.

AuthorBethany Wolf
Date of publication2014-09-19 00:46:31
MaintainerBethany Wolf <wolfb@musc.edu>
LicenseGPL-2
Version2.1.0

View on CRAN

Man pages

ada.pred: Internal Logic Forest Functions

ada.weights: Internal Logic Forest Functions

BoostVimp.plot: Variable and Interaction Importance Plots for a LBoost Model

CV.data: Internal Logic Forest Functions

CV.err: Internal Logic Forest Functions

CV.ids: Internal Logic Forest Functions

LBoost: LBoost

LBoost.fit: Example of a LBoost Model

LBoost.PIs: Internal Logic Forest Functions

LF.data: Example Data for Logic Forest and LBoost

LF.testdata: Example of New Test Data for Prediction in Logic Forest and...

list.PIs: Internal Logic Forest Functions

logforest: Logic Forest

logforest.fit: Example of a Logic Forest Model

LogicForest-package: Logic Forest

p.combos: Internal Logic Forest Functions

Perm.PIimp: Internal Logic Forest Functions

Perms: Internal Logic Forest Functions

persistence.plot: Plot Persistence of a Variable of Interaction

persistence.prep: Internal Logic forest Functions

persist.match: Internal Logic Forest Functions

pimp.import: Internal Logic Forest Functions

pimp.mat: Internal Logic Forest Functions

PlusMinus.PIimp: Internal Logic Forest Functions

predict.LBoost: Prediction of Response Using LBoost

predict.logforest: Prediction of Response Using Logic Forest

Pred.imp: Internal Logic Forest Functions

prime.imp: Internal Logic Forest Functions

print.LBoost: Prints Output for and LBoost Model

print.LFprediction: Prints Logic Forest Prediction Output

print.logforest: Prints Output for a Logic Forest Model

proportion.positive: Internal Logic Forest Functions

submatch.plot: Plot of Variable/Interaction Frequency

subs: Internal Logic Forest Functions

TTab: Internal Logic Forest Functions

vimp.plot: Variable and Interaction Importance Plots for a Logic Forest...

Files in this package

LogicForest
LogicForest/NAMESPACE
LogicForest/data
LogicForest/data/LF.testdata.rda
LogicForest/data/LF.data.rda
LogicForest/data/datalist
LogicForest/data/LBoost.fit.rda
LogicForest/data/logforest.fit.rda
LogicForest/R
LogicForest/R/Pred.imp.R LogicForest/R/pimp.mat.R LogicForest/R/print.LFprediction.R LogicForest/R/Perms.R LogicForest/R/logforest.R LogicForest/R/print.LBoost.R LogicForest/R/predict.LBoost.R LogicForest/R/prime.imp.R LogicForest/R/persistence.plot.R LogicForest/R/pimp.import.R LogicForest/R/persist.match.R LogicForest/R/print.logforest.R LogicForest/R/LBoost.PIs.R LogicForest/R/Perm.PIimp.R LogicForest/R/CV.data.R LogicForest/R/proportion.positive.R LogicForest/R/submatch.plot.R LogicForest/R/list.PIs.R LogicForest/R/TTab.R LogicForest/R/ada.weights.R LogicForest/R/CV.err.R LogicForest/R/LBoost.R LogicForest/R/persistence.prep.R LogicForest/R/CV.ids.R LogicForest/R/vimp.plot.R LogicForest/R/ada.pred.R LogicForest/R/PlusMinus.PIimp.R LogicForest/R/BoostVimp.plot.R LogicForest/R/predict.logforest.R LogicForest/R/subs.R LogicForest/R/p.combos.R
LogicForest/MD5
LogicForest/DESCRIPTION
LogicForest/man
LogicForest/man/CV.data.Rd LogicForest/man/predict.logforest.Rd LogicForest/man/vimp.plot.Rd LogicForest/man/ada.weights.Rd LogicForest/man/CV.err.Rd LogicForest/man/persistence.prep.Rd LogicForest/man/LBoost.fit.Rd LogicForest/man/prime.imp.Rd LogicForest/man/submatch.plot.Rd LogicForest/man/LF.testdata.Rd LogicForest/man/predict.LBoost.Rd LogicForest/man/TTab.Rd LogicForest/man/pimp.import.Rd LogicForest/man/PlusMinus.PIimp.Rd LogicForest/man/persist.match.Rd LogicForest/man/pimp.mat.Rd LogicForest/man/LF.data.Rd LogicForest/man/print.logforest.Rd LogicForest/man/print.LFprediction.Rd LogicForest/man/proportion.positive.Rd LogicForest/man/ada.pred.Rd LogicForest/man/BoostVimp.plot.Rd LogicForest/man/logforest.Rd LogicForest/man/print.LBoost.Rd LogicForest/man/p.combos.Rd LogicForest/man/persistence.plot.Rd LogicForest/man/CV.ids.Rd LogicForest/man/list.PIs.Rd LogicForest/man/Pred.imp.Rd LogicForest/man/LogicForest-package.Rd LogicForest/man/Perms.Rd LogicForest/man/Perm.PIimp.Rd LogicForest/man/LBoost.PIs.Rd LogicForest/man/subs.Rd LogicForest/man/LBoost.Rd LogicForest/man/logforest.fit.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.