Package: ciccr
Type: Package
Title: Causal Inference in Case-Control and Case-Population Studies
Version: 0.3.0
Authors@R: c(
    person("Sung Jae", "Jun", email = "suj14@psu.edu", role = "aut"),
    person("Sokbae", "Lee", email = "sl3841@columbia.edu", role = c("aut", "cre")))
Description: 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," <arXiv:2004.08318 [econ.EM]>,
  accepted for publication in Journal of Business & Economic Statistics.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: stats, glmnet
Suggests: knitr, rmarkdown, testthat, MASS, splines, Matrix
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://github.com/sokbae/ciccr/
BugReports: https://github.com/sokbae/ciccr/issues
NeedsCompilation: no
Packaged: 2023-10-20 16:29:09 UTC; sokbaelee
Author: Sung Jae Jun [aut],
  Sokbae Lee [aut, cre]
Maintainer: Sokbae Lee <sl3841@columbia.edu>
Repository: CRAN
Date/Publication: 2023-10-20 21:30:02 UTC
Built: R 4.2.0; ; 2023-10-21 00:30:34 UTC; unix
