Block Designs for Observational Studies
Overview
Creates block designs of fixed size J with at least one treated and control unit per block. Blocks larger than pairs better distinguish effects caused by a treatment from unmeasured confounding in assignment of individuals to treatment. Somewhat counterintuitively, blocks larger than pairs can use more units while attaining better covariate balance and block homogeneity. A forthcoming manuscript by Brumberg and Rosenbaum details the design.
blockMatch()acceptsrseed = NULLto leave the RNG state unchanged.- Minor bug fix for matching in the case of one treated or one control in a stratum.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK5 OK2026-04-11
Documentation
- Help pages
- 7 (2 internal)
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 29%
Downloads
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Code & Tests
Datasets
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- 1.1.0Latest
- RR 4.6.0 released · 2026-04-24
- 1.0.02026-04-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-10
- Total releases
- 2 / 1 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 52 KB / 1 file
- Download size
- 77 KB
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