Package: ciccr 0.3.0

ciccr: Causal Inference in Case-Control and Case-Population Studies

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.

Authors:Sung Jae Jun [aut], Sokbae Lee [aut, cre]

ciccr_0.3.0.tar.gz
ciccr_0.3.0.zip(r-4.5)ciccr_0.3.0.zip(r-4.4)ciccr_0.3.0.zip(r-4.3)
ciccr_0.3.0.tgz(r-4.4-any)ciccr_0.3.0.tgz(r-4.3-any)
ciccr_0.3.0.tar.gz(r-4.5-noble)ciccr_0.3.0.tar.gz(r-4.4-noble)
ciccr_0.3.0.tgz(r-4.4-emscripten)ciccr_0.3.0.tgz(r-4.3-emscripten)
ciccr.pdf |ciccr.html✨
ciccr/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/sokbae/ciccr/issues

On CRAN:

case-control-studiescausal-inferencepartial-identificationtreatment-effects

7 exports 2 stars 1.02 score 10 dependencies 4 scripts 248 downloads

Last updated 11 months agofrom:6941495efe. Checks:OK: 6 ERROR: 1. Indexed: yes.

Exports:AAA_DMLavg_AR_logitavg_RR_logitcicc_ARcicc_plotcicc_RRtrim_pr

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival