banditsCI
Bandit-Based Experiments and Policy Evaluation
Frequentist inference on adaptively generated data. The methods implemented are based on Zhan et al. (2021) <doi:10.48550/arXiv.2106.02029> and Hadad et al. (2021) <doi:10.48550/arXiv.1911.02768>. For illustration, several functions for simulating non-contextual and contextual adaptive experiments using Thompson sampling are also supplied.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | banditsCI_1.0.0.tar.gz |
1.0 MiB |
1.0.0 |
rolling linux/noble R-4.5 | banditsCI_1.0.0.tar.gz |
1.0 MiB |
1.0.0 |
rolling source/ R- | banditsCI_1.0.0.tar.gz |
1019.6 KiB |
1.0.0 |
latest linux/jammy R-4.5 | banditsCI_1.0.0.tar.gz |
1.0 MiB |
1.0.0 |
latest linux/noble R-4.5 | banditsCI_1.0.0.tar.gz |
1.0 MiB |
1.0.0 |
latest source/ R- | banditsCI_1.0.0.tar.gz |
1019.6 KiB |
1.0.0 |
2026-04-26 source/ R- | banditsCI_1.0.0.tar.gz |
1019.6 KiB |
1.0.0 |
2026-04-23 source/ R- | banditsCI_1.0.0.tar.gz |
1019.6 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | banditsCI_1.0.0.zip |
1.0 MiB |
1.0.0 |
2025-04-20 source/ R- | banditsCI_1.0.0.tar.gz |
1019.6 KiB |