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>.

Version: 0.2.2
Depends: R (≥ 3.4.0)
Imports: pracma, mirt, tidyr, EstCRM, rlang, dplyr, magrittr, tibble, ggplot2, grDevices, RColorBrewer
Suggests: knitr, rmarkdown, gridExtra, scales
Published: 2023-08-08
DOI: 10.32614/CRAN.package.airt
Author: Sevvandi Kandanaarachchi ORCID iD [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: airt results


Reference manual: airt.pdf
Vignettes: Introduction to airt


Package source: airt_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): airt_0.2.2.tgz, r-oldrel (arm64): airt_0.2.2.tgz, r-release (x86_64): airt_0.2.2.tgz, r-oldrel (x86_64): airt_0.2.2.tgz
Old sources: airt archive

Reverse dependencies:

Reverse imports: outlierensembles


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