Estimation and inference methods for causal relative risk. Semiparametrically efficient estimation of the aggregated (log) odds ratio and a causal inference procedure for relative risk. For more details, see the paper by Jun and Lee (2020), "Causal Inference in Case-Control Studies," <arXiv:2004.08318 [econ.EM]>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, MASS |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-09-18 |
| Author: | Sung Jae Jun [aut], Sokbae Lee [aut, cre] |
| Maintainer: | Sokbae Lee <sl3841 at columbia.edu> |
| BugReports: | https://github.com/sokbae/ciccr/issues |
| License: | GPL-3 |
| URL: | https://github.com/sokbae/ciccr/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ciccr results |
| Reference manual: | ciccr.pdf |
| Vignettes: |
Causal Inference in Case-Control Studies: Vignette |
| Package source: | ciccr_0.1.0.tar.gz |
| Windows binaries: | r-devel: ciccr_0.1.0.zip, r-release: ciccr_0.1.0.zip, r-oldrel: ciccr_0.1.0.zip |
| macOS binaries: | r-release: ciccr_0.1.0.tgz, r-oldrel: ciccr_0.1.0.tgz |
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