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logicDT  

Identifying Interactions Between Binary Predictors
View on CRAN: Click here


Download and install logicDT package within the R console
Install from CRAN:
install.packages("logicDT")

Install from Github:
library("remotes")
install_github("cran/logicDT")

Install by package version:
library("remotes")
install_version("logicDT", "1.0.5")



Attach the package and use:
library("logicDT")
Maintained by
Michael Lau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-19
Latest Update: 2024-09-23
Description:
A statistical learning method that tries to find the best set of predictors and interactions between predictors for modeling binary or quantitative response data in a decision tree. Several search algorithms and ensembling techniques are implemented allowing for finetuning the method to the specific problem. Interactions with quantitative covariables can be properly taken into account by fitting local regression models. Moreover, a variable importance measure for assessing marginal and interaction effects is provided. Implements the procedures proposed by Lau et al. (2024, ).
How to cite:
Michael Lau (2021). logicDT: Identifying Interactions Between Binary Predictors. R package version 1.0.5, https://cran.r-project.org/web/packages/logicDT. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:53), 1.0.0 (2021-11-19 15:50), 1.0.1 (2021-11-21 17:10), 1.0.2 (2022-04-26 13:20), 1.0.3 (2023-01-14 14:00), 1.0.4 (2024-01-19 14:10)
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