logicDT: Identifying Interactions Between Binary Predictors

A global statistical learning method which tries to find the best set of predictors and interactions between predictors for modeling binary or quantitative response data. Several search algorithms and ensembling techniques are implemented allowing for finetuning the method to the specific problem. Interactions with single quantitative covariables can be properly taken into account by also splitting after those or by fitting local four parameter logistic models.

install.packages("logicDT")

Try the logicDT package in your browser