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

R Stan Submitted 26 September 2025Published 20 April 2026
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Editor: @adithirgis (all papers)
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Authors

Yuqin Wang (0009-0003-8345-9318), Keming Zhang (0009-0001-5495-0058), Arman Oganisian (0000-0002-0437-4611)

Citation

Wang et al., (2026). BayCauRETM: R package for Bayesian Causal Inference for Recurrent Event Outcomes. Journal of Open Source Software, 11(120), 9458, https://doi.org/10.21105/joss.09458

@article{Wang2026, doi = {10.21105/joss.09458}, url = {https://doi.org/10.21105/joss.09458}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {120}, pages = {9458}, author = {Wang, Yuqin and Zhang, Keming and Oganisian, Arman}, title = {BayCauRETM: R package for Bayesian Causal Inference for Recurrent Event Outcomes}, journal = {Journal of Open Source Software} }
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Bayesian inference Causal inference Recurrent events timing misalignment survival analysis

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