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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling source/ R- | IBDInfer_0.1.0.tar.gz |
6.9 KiB |
0.1.0 |
rolling linux/jammy R-4.5 | IBDInfer_0.1.0.tar.gz |
32.9 KiB |
0.1.0 |
rolling linux/noble R-4.5 | IBDInfer_0.1.0.tar.gz |
32.8 KiB |
0.1.0 |
latest source/ R- | IBDInfer_0.1.0.tar.gz |
6.9 KiB |
0.1.0 |
latest linux/jammy R-4.5 | IBDInfer_0.1.0.tar.gz |
32.9 KiB |
0.1.0 |
latest linux/noble R-4.5 | IBDInfer_0.1.0.tar.gz |
32.8 KiB |
0.1.0 |
2026-04-26 source/ R- | IBDInfer_0.1.0.tar.gz |
6.9 KiB |
0.1.0 |
2026-04-23 source/ R- | IBDInfer_0.1.0.tar.gz |
6.9 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | IBDInfer_0.1.0.zip |
35.6 KiB |
0.0.1 |
2025-04-20 source/ R- | IBDInfer_0.0.1.tar.gz |
6.7 KiB |