A package for performing Markov Chain Monte Carlo algorithms.
Author stevenalfonso
2 Stars
Updated Last
11 Months Ago
Started In
April 2023

Runtests Documentation CI


A documentation for the McmcHermes package.

McmcHermes provides a simple but efficient way to generate Markov Chain Monte-Carlo algorithms in order to sample a probability density distribution.


The major functions in this module are:

run_mcmc: run multiple chains with a specific number of walkers.

get_flat_chain: get the stored chain of MCMC samples.

get_gelman_rubin: get the Gelman Rubin convergence diagnostic of the chains.

Pkg Registry

using Pkg

See here the documentation.

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