IBDInfer: Design-Based Causal Inference Method for Incomplete BlockDesigns
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.
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=IBDInferto link to this page.