Package for exploratory analysis of Bayesian models
ArviZ is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, sample diagnostics, model checking, and comparison. The goal is to provide backend-agnostic tools for diagnostics and visualizations of Bayesian inference in Python, by first converting inference data into xarray objects. See here for more on xarray and ArviZ usage and here for more on InferenceData structure and specification.
$
pkg install py311-arvizOrigin
math/py-arviz
Size
7.40MiB
License
APACHE20
Maintainer
yuri@FreeBSD.org
Dependencies
12 packages
Required by
1 packages