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 [aut, cre] Maintainer: Sevvandi Kandanaarachchi <sevvandik at gmail.com> License: GPL-3 URL: https://sevvandi.github.io/airt/ NeedsCompilation: no Materials: README CRAN checks: airt results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=airt to link to this page.
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