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airt: Evaluation of Algorithm Collections Using Item Response Theory (original) (raw)

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 KandanaarachchiORCID iD [aut, cre]
Maintainer: Sevvandi Kandanaarachchi
License: GPL-3
URL: https://sevvandi.github.io/airt/
NeedsCompilation: no
Materials: README
CRAN checks: airt results

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