IBDInfer: Design-Based Causal Inference Method for Incomplete Block Designs

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.

Version:	0.1.0
Imports:	crossdes, dplyr, tidyr
Published:	2026-04-01
DOI:	10.32614/CRAN.package.IBDInfer
Author:	Taehyeon Koo [aut, cre], Nicole Pashley [ctb]
Maintainer:	Taehyeon Koo <tk3077 at cumc.columbia.edu>
License:	MIT + file LICENSE
URL:	https://github.com/taehyeonkoo/IBDInfer
NeedsCompilation:	no
Materials:	README
CRAN checks:	IBDInfer results

Documentation:

Reference manual:

IBDInfer.html , IBDInfer.pdf

Downloads:

Package source:	IBDInfer_0.1.0.tar.gz
Windows binaries:	r-devel: IBDInfer_0.0.1.zip, r-release: IBDInfer_0.0.1.zip, r-oldrel: IBDInfer_0.0.1.zip
macOS binaries:	r-release (arm64): IBDInfer_0.1.0.tgz, r-oldrel (arm64): IBDInfer_0.0.1.tgz, r-release (x86_64): IBDInfer_0.0.1.tgz, r-oldrel (x86_64): IBDInfer_0.0.1.tgz
Old sources:	IBDInfer archive

Linking:

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