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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 |
Reference manual: | IBDInfer.pdf |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.