Package: LLM 1.1.0

Arno De Caigny

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>).

Authors:Arno De Caigny [aut, cre], Kristof Coussement [aut], Koen W. De Bock [aut]

LLM_1.1.0.tar.gz
LLM_1.1.0.tar.gz(r-4.5-noble)LLM_1.1.0.tar.gz(r-4.4-noble)
LLM_1.1.0.tgz(r-4.4-emscripten)LLM_1.1.0.tgz(r-4.3-emscripten)
LLM.pdf |LLM.html✨
LLM/json (API)

# Install 'LLM' in R:
install.packages('LLM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 2 stars 4 scripts 181 downloads 14 mentions 5 exports 52 dependencies

Last updated 4 years agofrom:3d223c0d3d. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 01 2024
R-4.5-linuxOKOct 01 2024

Exports:llmllm.cvpredict.llmtable.cat.llm.htmltable.llm.html

Dependencies:bootclicolorspaceDBIfansifarverFormulaggplot2gluegtableinumisobandlabelinglatticelibcoinlifecyclelme4magrittrMASSMatrixmgcvminqamitoolsmunsellmvtnormnlmenloptrnumDerivpartykitpillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenreghelperrJavarlangrpartRWekaRWekajarsscalesstringistringrsurveysurvivaltibbleutf8vctrsviridisLitewithr