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[ascl:2004.012] ArviZ: Exploratory analysis of Bayesian models

ArviZ provides backend-agnostic tools for diagnostics and visualizations of Bayesian inference by first converting inference data into xarray objects. It includes functions for posterior analysis, model checking, comparison and diagnostics. ArviZ’s functions work with NumPy arrays, dictionaries of arrays, xarray datasets, and have built-in support for PyMC3 (ascl:1610.016), PyStan, CmdStanPy, Pyro (ascl:1507.018), NumPyro, emcee (ascl:1303.002), and TensorFlow Probability objects. A Julia wrapper is also available.

Code site:
https://github.com/arviz-devs/arviz https://pypi.org/project/arviz/
Used in:
https://ui.adsabs.harvard.edu/abs/2019ApJ...883L..42F
Described in:
https://joss.theoj.org/papers/10.21105/joss.01143
Bibcode:
2020ascl.soft04012A

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ascl:2004.012
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