BayCauRETM: R package for Bayesian Causal Inference for Recurrent Event Outcomes

BayCauRETM: R package for Bayesian Causal Inference for Recurrent Event Outcomes - Published in JOSS (2026)

https://github.com/lnnnnyw/baycauretm

Science Score: 87.0%

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    Published in Journal of Open Source Software
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JOSS Publication

BayCauRETM: R package for Bayesian Causal Inference for Recurrent Event Outcomes
Published
April 20, 2026
Volume 11, Issue 120, Page 9458
Authors
Yuqin Wang ORCID
Department of Biostatistics, Brown University, Providence, RI, United States
Keming Zhang ORCID
Department of Biostatistics, Brown University, Providence, RI, United States
Arman Oganisian ORCID
Department of Biostatistics, Brown University, Providence, RI, United States
Editor
Adithi R Upadhya ORCID
Tags
Bayesian inference Causal inference Recurrent events timing misalignment survival analysis