uravu: Making Bayesian modelling easy(er)

Python Submitted 20 May 2020Published 05 June 2020

Editor: @dfm (all papers)
Reviewers: @ejhigson (all reviews), @joshspeagle (all reviews)


Andrew R. McCluskey (0000-0003-3381-5911), Tim Snow (0000-0001-7146-6885)


McCluskey et al., (2020). uravu: Making Bayesian modelling easy(er). Journal of Open Source Software, 5(50), 2214, https://doi.org/10.21105/joss.02214

@article{McCluskey2020, doi = {10.21105/joss.02214}, url = {https://doi.org/10.21105/joss.02214}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {50}, pages = {2214}, author = {Andrew R. McCluskey and Tim Snow}, title = {uravu: Making Bayesian modelling easy(er)}, journal = {Journal of Open Source Software} }
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Bayesian analysis evidence estimation nested sampling mcmc

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