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-devel (arm64): bate_0.1.0.tgz, r-release (arm64): bate_0.1.0.tgz, r-oldrel (arm64): bate_0.1.0.tgz, r-devel (x86_64): bate_0.1.0.tgz, r-release (x86_64): bate_0.1.0.tgz, r-oldrel (x86_64): bate_0.1.0.tgz

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