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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 + file LICENSE
URL: https://github.com/dbasu-umass/bate/, https://rpubs.com/dbasu/bate/
NeedsCompilation: no
Materials: README
CRAN checks: bate results

Documentation:

Reference manual: bate.pdf
Vignettes: Bias-Adjusted Treatment Effect

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 form https://CRAN.R-project.org/package=bate to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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