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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bate to link to this page.
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