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