list.PIs

a list of interactions for which subset matches are to be identified.


match.list

a list of all interactions identified in a logic forest model.


allPIs

number of predictors in the original dataset.


preds

Internal function called by <code><a rd-options="" href="/link/subs?package=LogicForest&version=2.1.0" data-mini-rdoc="LogicForest::subs">subs</a></code> and <code><a rd-options="" href="/link/persist.match?package=LogicForest&version=2.1.0" data-mini-rdoc="LogicForest::persist.match">persist.match</a></code>.  Not intended to be used independent of these functions.


 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.

list.PIs: Internal Logic Forest Functions

Description

Usage

Arguments