Package: LLM 1.1.0

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.zip(r-4.7)LLM_1.1.0.zip(r-4.6)LLM_1.1.0.zip(r-4.5)
LLM_1.1.0.tgz(r-4.6-any)LLM_1.1.0.tgz(r-4.5-any)
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://arnoxieseg.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

2.30 score 2 stars 9 scripts 211 downloads 14 mentions 5 exports 49 dependencies

Last updated from:3d223c0d3d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK164
source / vignettesOK185
linux-release-x86_64OK175
macos-release-arm64OK154
macos-oldrel-arm64OK180
windows-develOK117
windows-releaseOK108
windows-oldrelOK108
wasm-releaseOK124

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

Dependencies:bootclicpp11DBIfarverFormulaggplot2gluegtableinumisobandlabelinglatticelibcoinlifecyclelme4magrittrMASSMatrixminqamitoolsmvtnormnlmenloptrnumDerivpartykitR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreghelperrJavarlangrpartRWekaRWekajarsS7scalesstringistringrsurveysurvivalvctrsviridisLitewithr