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bate: Computes Bias-Adjusted Treatment Effect

Compute bounds for the treatment effect after adjusting for the presence of omitted variables in linear econometric models, according to the method of Basu (2022) <doi:10.48550/arXiv.2203.12431>. You supply the data, identify the outcome and treatment variables and additional regressors. The main functions will compute bounds for the bias-adjusted treatment effect. Many plot functions allow easy visualization of results.

Version:0.1.0
Imports:ggplot2,concaveman,dplyr, stats,magrittr,tidyselect,purrr,latex2exp,vtable
Suggests:rmarkdown,knitr
Published:2022-03-28
DOI:10.32614/CRAN.package.bate
Author:Deepankar Basu [aut, cre], Evan Wasner [aut]
Maintainer:Deepankar Basu <dbasu at umass.edu>
License:MIT + fileLICENSE
URL:https://github.com/dbasu-umass/bate/,https://rpubs.com/dbasu/bate/
NeedsCompilation:no
Materials:README
CRAN checks:bate results

Documentation:

Reference manual:bate.html ,bate.pdf
Vignettes:Bias-Adjusted Treatment Effect (source,R code)

Downloads:

Package source: bate_0.1.0.tar.gz
Windows binaries: r-devel:bate_0.1.0.zip, r-release:bate_0.1.0.zip, r-oldrel:bate_0.1.0.zip
macOS binaries: r-release (arm64):bate_0.1.0.tgz, r-oldrel (arm64):bate_0.1.0.tgz, r-release (x86_64):bate_0.1.0.tgz, r-oldrel (x86_64):bate_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bateto link to this page.


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