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IBDInfer
View on CRAN: Click
here
Download and install IBDInfer package within the R console
Install from CRAN:
install.packages("IBDInfer")
Install from Github:
library("remotes")
install_github("cran/IBDInfer")
Install by package version:
library("remotes")
install_version("IBDInfer", "0.0.1")
Attach the package and use:
library("IBDInfer")
Maintained by
Taehyeon Koo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.IBDInfer . https://github.com/taehyeonkoo/IBDInfer . IBDInfer results . IBDInfer.pdf . IBDInfer_0.0.1.tar.gz . IBDInfer_0.0.1.zip . IBDInfer_0.0.1.zip . IBDInfer_0.0.1.zip . IBDInfer_0.0.1.tgz . IBDInfer_0.0.1.tgz . IBDInfer_0.0.1.tgz . IBDInfer_0.0.1.tgz . https://CRAN.R-project.org/package=IBDInfer .
First Published: 2025-04-17
Latest Update: 2025-04-17
Description:
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.
How to cite:
Taehyeon Koo (2025). IBDInfer: Design-Based Causal Inference Method for Incomplete Block Designs. R package version 0.0.1, https://cran.r-project.org/web/packages/IBDInfer. Accessed 04 May. 2025.
Previous versions and publish date:
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