Package: airt 0.2.3

Sevvandi Kandanaarachchi

airt: Evaluation of Algorithm Collections Using Item Response Theory

An evaluation framework for algorithm portfolios using Item Response Theory (IRT). We use continuous and polytomous IRT models to evaluate algorithms and introduce algorithm characteristics such as stability, effectiveness and anomalousness (Kandanaarachchi, Smith-Miles 2020) <doi:10.13140/RG.2.2.11363.09760>.

Authors:Sevvandi Kandanaarachchi [aut, cre]

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airt.pdf |airt.html✨
airt/json (API)

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

Peer review:

Bug tracker:https://github.com/sevvandi/airt/issues

Pkgdown site:https://sevvandi.github.io

Datasets:
  • classification_cts - A dataset containing classification algorithm performance data in a continuous format.
  • classification_poly - A dataset containing classification algorithm performance data in a polytomous format.

On CRAN:

4.18 score 1 packages 8 scripts 317 downloads 15 exports 112 dependencies

Last updated 10 months agofrom:ff32b1c20b. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 16 2025
R-4.5-winOKJan 16 2025
R-4.5-linuxOKJan 16 2025
R-4.4-winOKJan 16 2025
R-4.4-macOKJan 16 2025
R-4.3-winOKJan 16 2025
R-4.3-macOKJan 16 2025

Exports:algo_effectiveness_crmalgo_effectiveness_polyautoplotcirtmodeleffectiveness_crmeffectiveness_polyheatmaps_crmlatent_trait_analysismake_polyIRT_datamodel_goodness_crmmodel_goodness_for_algo_crmmodel_goodness_for_algo_polymodel_goodness_polypirtmodeltracelines_poly

Dependencies:audiobackportsbase64encbeeprbriobslibcachemcallrcheckmatecliclustercodetoolscolorspacecpp11crayoncurldata.tabledcurverDerivdescdiffobjdigestdplyrEstCRMevaluatefansifarverfastmapfontawesomeforeignFormulafsfuturefuture.applygenericsggplot2globalsglueGPArotationgridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelistenvmagrittrMASSMatrixmemoisemgcvmimemirtmunsellnlmennetparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpracmapraiseprocessxprogressrpspurrrR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrpartrprojrootRPushbulletrstudioapisassscalessessioninfoSimDesignsnowstringistringrtestthattibbletidyrtidyselecttinytexutf8vctrsveganviridisviridisLitewaldowithrxfunyaml

Introduction to airt

Rendered fromairt.Rmdusingknitr::rmarkdownon Jan 16 2025.

Last update: 2024-03-21
Started: 2020-03-22