ciccr: Causal Inference in Case-Control Studies

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

Downloads:

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_0.1.0.zip, r-oldrel: ciccr_0.1.0.zip
macOS binaries: r-release: ciccr_0.1.0.tgz, r-oldrel: ciccr_0.2.0.tgz
Old sources: ciccr archive

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