Design-Based Causal Inference Method for Incomplete Block Designs
Overview
This R package implements methods for estimation and inference under Incomplete Block Designs and Balanced Incomplete Block Designs within a design-based finite-population framework. Based on 'Koo and Pashley' (2026) doi:10.1093/biomet/asag013, it includes block-level estimators and extends to unit-level effects using 'Horvitz-Thompson' and 'Hájek' estimators. The package also provides asymptotic confidence intervals to support valid statistical inference.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-04
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 4 (2 internal)
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 50%
Downloads
Repository
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/taehyeonkoo/ibdinfer on 2026-10-25.
Dependencies
Code & Tests
People & History
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- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest
- 0.0.12025-04-17
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-04-17
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 6.9 KB
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