Package: ebal 0.1-8

ebal: Entropy Reweighting to Create Balanced Samples

Package implements entropy balancing, a data preprocessing procedure described in Hainmueller (2008, <doi:10.1093/pan/mpr025>) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.

Authors:Jens Hainmueller

ebal_0.1-8.tar.gz
ebal_0.1-8.zip(r-4.5)ebal_0.1-8.zip(r-4.4)ebal_0.1-8.zip(r-4.3)
ebal_0.1-8.tgz(r-4.4-any)ebal_0.1-8.tgz(r-4.3-any)
ebal_0.1-8.tar.gz(r-4.5-noble)ebal_0.1-8.tar.gz(r-4.4-noble)
ebal_0.1-8.tgz(r-4.4-emscripten)ebal_0.1-8.tgz(r-4.3-emscripten)
ebal.pdf |ebal.html
ebal/json (API)

# Install 'ebal' in R:
install.packages('ebal', repos = c('https://jankee2022.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.12 score 2 stars 1 packages 140 scripts 1.6k downloads 7 exports 0 dependencies

Last updated 2 years agofrom:2965641abc. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winOKNov 18 2024
R-4.5-linuxOKNov 18 2024
R-4.4-winOKNov 18 2024
R-4.4-macOKNov 18 2024
R-4.3-winOKNov 18 2024
R-4.3-macOKNov 18 2024

Exports:baltest.collectebebalanceebalance.trimgetsquaresline.searchermatrixmaker

Dependencies: