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.zip(r-4.7-any)LLM_1.1.0.zip(r-4.6-any)LLM_1.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
card.svg |card.png
LLM/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

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

On CRAN:

Conda:

archivedpackagesr-universeopenjdk

2.70 score 5 stars 217 downloads 14 mentions 5 exports 52 dependencies

Last updated from:d01b4ee920 (on package/LLM). Checks:7 ERROR, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develERROR218
source / vignettesOK200
linux-releaseERROR166
macos-releaseERROR90
macos-oldrelERROR133
windows-develERROR99
windows-releaseERROR116
windows-oldrelERROR109
wasm-releaseOK143

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

Dependencies:bootclicpp11DBIfarverFormulaggplot2gluegtableinumisobandlabelinglatticelibcoinlifecyclelme4magrittrMASSMatrixminqamitoolsmvtnormnlmenloptrnumDerivpartykitR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreghelperrJavarlangrpartRWekaRWekajarsS7sandwichscalesstringistringrstrucchangesurveysurvivalvctrsviridisLitewithrzoo