Estimate and Make Inference About Optimal Treatment Regimes via Smoothed Methods
Overview
Methods to estimate the optimal treatment regime among all linear regimes via smoothed estimation methods, and construct element-wise confidence intervals for the optimal linear treatment regime vector, as well as the confidence interval for the optimal value via wild bootstrap procedures, if the population follows treatments recommended by the optimal linear regime. See more details in: Wu, Y. and Wang, L. (2021), "Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes", Biometrics, 77: 465– 476, doi:10.1111/biom.13337.
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- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
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- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 92%
- Return-value docs
- 100%
- Help pages citing references
- 100%
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.1.0Latest
- RR 4.3.0 released · 2023-04-21
- 1.0.02023-03-22 · diff ↗
- 0.1.02023-02-22
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-22
- Total releases
- 3 / 3 yrs
- License
- GPL (>= 2) OSI
- Download size
- 14 KB
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