py311-arviz
0.23.0Package 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.
Origin: math/py-arviz
Category: math
Size: 7.40MiB
License: APACHE20
Maintainer: yuri@FreeBSD.org
Dependencies: 12 packages
Required by: 1 packages
Website: python.arviz.org/en/stable
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pkg install py311-arvizDependencies (12)
Required By (1 packages)
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py311-numpy1.26.4_11,1
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Language for statistical computing and graphicsgmp6.3.0
Free library for arbitrary precision arithmeticopenblas0.3.30,2
Optimized BLAS library based on GotoBLAS2fftw33.3.10_5
Fast C routines to compute the Discrete Fourier Transformpy311-matplotlib3.8.0_2
Plotting library uses a syntax familiar to MATLAB userspy311-pandas2.3.3,1
Flexible, high-performance data analysis in Pythonmpfr4.2.2,1
Library for multiple-precision floating-point computationsoctave10.3.0_2
High-level interactive language for numerical computationsoctave-forge-base1.9_1
Octave-forge baseport for all packages