Estimation and inference methods for causal relative and attributable risk in case-control and case-population studies. Semiparametrically efficient estimation of the aggregated (log) odds ratio and causal inference procedures for relative and attributable risk. For more details, see the paper by Jun and Lee (2020), "Causal Inference in Case-Control Studies," <arXiv:2004.08318 [econ.EM]>.
| Version: | 0.2.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats |
| Suggests: | knitr, rmarkdown, testthat, MASS |
| Published: | 2020-10-29 |
| 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 NEWS |
| CRAN checks: | ciccr results |
| Reference manual: | ciccr.pdf |
| Vignettes: |
Causal Inference in Case-Control Studies: Vignette |
| Package source: | ciccr_0.2.0.tar.gz |
| Windows binaries: | r-devel: ciccr_0.2.0.zip, r-release: ciccr_0.2.0.zip, r-oldrel: ciccr_0.2.0.zip |
| macOS binaries: | r-release (arm64): ciccr_0.2.0.tgz, r-oldrel (arm64): ciccr_0.2.0.tgz, r-release (x86_64): ciccr_0.2.0.tgz, r-oldrel (x86_64): ciccr_0.2.0.tgz |
| Old sources: | ciccr archive |
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