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Estimation and inference methods for causal relative and attributable risk in case-control and case-population studies under the monotone treatment response and monotone treatment selection assumptions. For more details, see the paper by Jun and Lee (2023), "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," <doi:10.48550/arXiv.2004.08318>, accepted for publication in Journal of Business & Economic Statistics.
| Version: | 0.3.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, glmnet |
| Suggests: | knitr, rmarkdown, testthat, MASS, splines, Matrix |
| Published: | 2023-10-20 |
| 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 and Case-Population Studies: Vignette |
| Package source: | ciccr_0.3.0.tar.gz |
| Windows binaries: | r-devel: ciccr_0.3.0.zip, r-release: ciccr_0.3.0.zip, r-oldrel: ciccr_0.3.0.zip |
| macOS binaries: | r-release (arm64): ciccr_0.3.0.tgz, r-oldrel (arm64): ciccr_0.3.0.tgz, r-release (x86_64): ciccr_0.3.0.tgz, r-oldrel (x86_64): ciccr_0.3.0.tgz |
| Old sources: | ciccr archive |
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These binaries (installable software) and packages are in development.
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