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: | 0.2.0 |
Depends: | R (≥ 3.4.0) |
Imports: | pracma, mirt, tidyr, EstCRM, rlang |
Suggests: | knitr, rmarkdown, ggplot2 |
Published: | 2020-11-23 |
Author: | Sevvandi Kandanaarachchi
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Maintainer: | Sevvandi Kandanaarachchi <sevvandik at gmail.com> |
License: | GPL-3 |
URL: | https://sevvandi.github.io/airt/ |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | airt results |
Reference manual: | airt.pdf |
Vignettes: |
airt |
Package source: | airt_0.2.0.tar.gz |
Windows binaries: | r-devel: airt_0.2.0.zip, r-release: airt_0.2.0.zip, r-oldrel: airt_0.2.0.zip |
macOS binaries: | r-release: airt_0.2.0.tgz, r-oldrel: airt_0.2.0.tgz |
Old sources: | airt archive |
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