Package: IBDInfer 0.0.1

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) <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.

Authors:Taehyeon Koo [aut, cre], Nicole Pashley [ctb]

IBDInfer_0.0.1.tar.gz
IBDInfer_0.0.1.zip(r-4.7)IBDInfer_0.0.1.zip(r-4.6)IBDInfer_0.0.1.zip(r-4.5)
IBDInfer_0.0.1.tgz(r-4.6-any)IBDInfer_0.0.1.tgz(r-4.5-any)
IBDInfer_0.0.1.tar.gz(r-4.7-any)IBDInfer_0.0.1.tar.gz(r-4.6-any)
IBDInfer_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
IBDInfer/json (API)

# Install 'IBDInfer' in R:

install.packages('IBDInfer', repos = c('https://taehyeonkoo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/taehyeonkoo/ibdinfer/issues

On CRAN:

2.70 score 1 scripts 490 downloads 2 exports 23 dependencies

Last updated from:6d159894a5. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	123
source / vignettes	OK	140
linux-release-x86_64	OK	120
macos-release-arm64	OK	118
macos-oldrel-arm64	OK	183
windows-devel	OK	73
windows-release	OK	84
windows-oldrel	OK	105
wasm-release	OK	102