airt
Evaluation of Algorithm Collections Using Item Response Theory
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.2 |
rolling linux/jammy R-4.5 | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
rolling linux/noble R-4.5 | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
rolling source/ R- | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
latest linux/jammy R-4.5 | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
latest linux/noble R-4.5 | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
latest source/ R- | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
2026-04-26 source/ R- | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
2026-04-23 source/ R- | airt_0.2.2.tar.gz |
1.6 MiB |
0.2.2 |
2026-04-09 windows/windows R-4.5 | airt_0.2.2.zip |
1.6 MiB |
0.2.2 |
2025-04-20 source/ R- | airt_0.2.2.tar.gz |
1.6 MiB |