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[ascl:1709.009] bmcmc: MCMC package for Bayesian data analysis

bmcmc is a general purpose Markov Chain Monte Carlo package for Bayesian data analysis. It uses an adaptive scheme for automatic tuning of proposal distributions. It can also handle Bayesian hierarchical models by making use of the Metropolis-Within-Gibbs scheme.

Code site:
https://github.com/sanjibs/bmcmc/ https://bmcmc.readthedocs.io/en/latest/
Described in:
https://ui.adsabs.harvard.edu/abs/2017ARA%26A..55..213S
Bibcode:
2017ascl.soft09009S

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ascl:1709.009
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