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polle

Policy Learning

Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.

Versions across snapshots

VersionRepositoryFileSize
1.6.2 rolling linux/jammy R-4.5 polle_1.6.2.tar.gz 786.3 KiB
1.6.2 rolling linux/noble R-4.5 polle_1.6.2.tar.gz 784.9 KiB
1.6.2 rolling source/ R- polle_1.6.2.tar.gz 401.6 KiB
1.6.2 latest linux/jammy R-4.5 polle_1.6.2.tar.gz 786.3 KiB
1.6.2 latest linux/noble R-4.5 polle_1.6.2.tar.gz 784.9 KiB
1.6.2 latest source/ R- polle_1.6.2.tar.gz 401.6 KiB
1.6.2 2026-04-26 source/ R- polle_1.6.2.tar.gz 401.6 KiB
1.6.2 2026-04-23 source/ R- polle_1.6.2.tar.gz 401.6 KiB
1.6.2 2026-04-09 windows/windows R-4.5 polle_1.6.2.zip 798.6 KiB
1.5 2025-04-20 source/ R- polle_1.5.tar.gz 240.7 KiB

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