compareMCMCs: An R package for studying MCMC efficiency

R Submitted 18 October 2021Published 14 January 2022
Review

Editor: @fabian-s (all papers)
Reviewers: @rowlandseymour (all reviews), @tbrown122387 (all reviews)

Authors

Perry de Valpine, Sally Paganin, Daniel Turek

Citation

de Valpine et al., (2022). compareMCMCs: An R package for studying MCMC efficiency. Journal of Open Source Software, 7(69), 3844, https://doi.org/10.21105/joss.03844

@article{de Valpine2022, doi = {10.21105/joss.03844}, url = {https://doi.org/10.21105/joss.03844}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {69}, pages = {3844}, author = {Perry de Valpine and Sally Paganin and Daniel Turek}, title = {compareMCMCs: An R package for studying MCMC efficiency}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

statistics Markov chain Monte Carlo nimble JAGS

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066