LLM: Logit Leaf Model Classifier for Binary Classification

Fits the Logit Leaf Model, makes predictions and visualizes the output. (De Caigny et al., (2018) <doi:10.1016/j.ejor.2018.02.009>).

Version: 1.1.0
Depends: R (≥ 4.0.0)
Imports: partykit, stats, stringr, RWeka, survey, reghelper, scales
Suggests: mlbench
Published: 2020-05-08
Author: Arno De Caigny [aut, cre], Kristof Coussement [aut], Koen W. De Bock [aut]
Maintainer: Arno De Caigny <a.de-caigny at ieseg.fr>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: LLM results


Reference manual: LLM.pdf


Package source: LLM_1.1.0.tar.gz
Windows binaries: r-prerel: LLM_1.1.0.zip, r-release: LLM_1.1.0.zip, r-oldrel: LLM_1.1.0.zip
macOS binaries: r-prerel (arm64): LLM_1.1.0.tgz, r-release (arm64): LLM_1.1.0.tgz, r-oldrel (arm64): LLM_1.1.0.tgz, r-prerel (x86_64): LLM_1.1.0.tgz, r-release (x86_64): LLM_1.1.0.tgz
Old sources: LLM archive


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