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' (2024) <doi:10.48550/arXiv.2405.19312>, 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: 0.0.1
Imports: crossdes, dplyr, tidyr
Published: 2025-04-17
DOI: 10.32614/CRAN.package.IBDInfer
Author: Taehyeon Koo [aut, cre], Nicole Pashley [ctb]
Maintainer: Taehyeon Koo <tk587 at stat.rutgers.edu>
License: MIT + file LICENSE
URL: https://github.com/taehyeonkoo/IBDInfer
NeedsCompilation: no
Materials: README
CRAN checks: IBDInfer results

Documentation:

Reference manual: IBDInfer.pdf

Downloads:

Package source: IBDInfer_0.0.1.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_0.0.1.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

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