mcmc_to_arviz
- sherpa.sim.mcmc_to_arviz(mcmc: MCMC, fit: Fit, list_of_draws: list[tuple])[source] [edit on github]
Convert the MCMC results to an ArviZ InferenceData object.
ArviZ is a Python package for exploratory analysis of Bayesian models and provides a range of tools for visualizing and analyzing MCMC results.
This function requires the ArviZ package to be installed.
Added in version 4.17.1.
- Parameters:
mcmc (MCMC) – The MCMC object used to run the chain.
fit (Fit) – The Fit object used to fit the data.
list_of_draws (list of tuples) – A list of tuples, each containing three elements as returned from
MCMC.get_draws: the statistic, the acceptance rate, and the parameter array. Each tuple corresponds to a single chain run for the same model and MCMC object.
- Returns:
inference_data – An ArviZ InferenceData object containing the posterior and log likelihood data.
- Return type: