An evaluation framework for algorithm portfolios using Item Response Theory (IRT). We use 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: | 0.1.0 |
Depends: | R (≥ 3.4.0) |
Imports: | pracma, mirt, tidyr |
Suggests: | knitr, rmarkdown, ggplot2 |
Published: | 2020-05-12 |
Author: | Sevvandi Kandanaarachchi
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Maintainer: | Sevvandi Kandanaarachchi <sevvandik at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | airt results |
Reference manual: | airt.pdf |
Vignettes: |
airt |
Package source: | airt_0.1.0.tar.gz |
Windows binaries: | r-devel: airt_0.1.0.zip, r-release: airt_0.1.0.zip, r-oldrel: airt_0.1.0.zip |
macOS binaries: | r-release: airt_0.1.0.tgz, r-oldrel: airt_0.1.0.tgz |
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