[aut, cre],
ETH Zurich [cph]Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). robomit the estimate i) the bias-adjusted treatment correlation or effect and ii) the degree of selection on unobservables relative to observables (with respect to the treatment variable) that would be necessary to eliminate the result based on the framework by Oster (2019). Additionally, robomit offers a set of sensitivity analysis and visualization functions. See: Oster, E. 2019. <doi:10.1080/07350015.2016.1227711>.
| Version: | 1.0.5 |
| Imports: | plm, dplyr, ggplot2, broom, tidyr, tibble, stats |
| Suggests: | testthat |
| Published: | 2021-01-25 |
| Author: | Sergei Schaub
[aut, cre],
ETH Zurich [cph] |
| Maintainer: | Sergei Schaub <seschaub at ethz.ch> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | robomit results |
| Reference manual: | robomit.pdf |
| Package source: | robomit_1.0.5.tar.gz |
| Windows binaries: | r-devel: robomit_1.0.5.zip, r-release: robomit_1.0.5.zip, r-oldrel: robomit_1.0.5.zip |
| macOS binaries: | r-release: robomit_1.0.5.tgz, r-oldrel: robomit_1.0.5.tgz |
| Old sources: | robomit archive |
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