Generative DAGs as an Interface Into Probabilistic Programming with the R Package causact

R Submitted 27 April 2022Published 12 August 2022
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Editor: @arfon (all papers)
Reviewers: @joethorley (all reviews), @ChristopherLucas (all reviews)

Authors

Adam J. Fleischhacker (0000-0003-2871-4788), Thi Hong Nhung Nguyen

Citation

Fleischhacker et al., (2022). Generative DAGs as an Interface Into Probabilistic Programming with the R Package causact. Journal of Open Source Software, 7(76), 4415, https://doi.org/10.21105/joss.04415

@article{Fleischhacker2022, doi = {10.21105/joss.04415}, url = {https://doi.org/10.21105/joss.04415}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {76}, pages = {4415}, author = {Adam J. Fleischhacker and Thi Hong Nhung Nguyen}, title = {Generative DAGs as an Interface Into Probabilistic Programming with the R Package causact}, journal = {Journal of Open Source Software} }
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Bayesian inference probabilistic programming graphical models directed acyclic graphs

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ISSN 2475-9066