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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:2965641abc. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | OK | Nov 18 2024 |
R-4.5-linux | OK | Nov 18 2024 |
R-4.4-win | OK | Nov 18 2024 |
R-4.4-mac | OK | Nov 18 2024 |
R-4.3-win | OK | Nov 18 2024 |
R-4.3-mac | OK | Nov 18 2024 |
Exports:baltest.collectebebalanceebalance.trimgetsquaresline.searchermatrixmaker
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Collect Covariate Balance Statistics | baltest.collect |
Function for Entropy Balancing | eb |
Entropy balancing | ebalance |
Trimming of Weights for Entropy Balancing | ebalance.trim |
Generate Matrix of Squared Terms | getsquares |
Optimal step length search for entropy balancing algorithm | line.searcher |
Generate Matrix of One-way Interactions and Squared Terms | matrixmaker |