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-4.7-any)LLM_1.1.0.tar.gz(r-4.6-any)
LLM_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LLM/json (API)

# Install 'LLM' in R:
install.packages('LLM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

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

openjdk

2.34 score 2 stars 11 scripts 207 downloads 14 mentions 5 exports 49 dependencies

Last updated from:3d223c0d3d. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK160
source / vignettesOK188
linux-release-x86_64OK157
wasm-releaseOK127

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

Dependencies:bootclicpp11DBIfarverFormulaggplot2gluegtableinumisobandlabelinglatticelibcoinlifecyclelme4magrittrMASSMatrixminqamitoolsmvtnormnlmenloptrnumDerivpartykitR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreghelperrJavarlangrpartRWekaRWekajarsS7scalesstringistringrsurveysurvivalvctrsviridisLitewithr