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 Kandanaarachchi [aut, cre] |
Maintainer: | Sevvandi Kandanaarachchi |
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 formhttps://CRAN.R-project.org/package=airtto link to this page.