polle
1.6.4Policy Learning
Overview
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 (2026) doi:10.18637/jss.v116.i04 for documentation and references.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 92%
- Return-value docs
- 95%
- References docs
- 6%
Downloads
Repository
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Checks run against github.com/andreasnordland/polle on 2026-07-19.
Dependencies
Code & Tests
People & History
11 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.6.4Latest
- 1.6.32026-05-05 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 1.6.22025-12-04 · diff ↗
- 1.6.12025-12-01 · diff ↗
- 1.6.02025-10-30 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.52024-09-06 · diff ↗
- 1.42024-04-25 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.32023-07-06 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.22023-02-07 · diff ↗
- 1.02022-12-06 · diff ↗
- 0.12022-10-31
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-10-31
- Total releases
- 11 / 4 yrs
- License
- Apache License (>= 2)
- Minimum R
- ≥ 4.1
- Download size
- 403 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet