"ArviZ": {
"tags": [
"arviz_2019"
],
"logo": "img/ArviZ.png",
"language": "Python",
"category": "Statistics",
"keywords": [],
"description": "\"ArviZ is a Python package for exploratory analysis of Bayesian models. It serves as a backend-agnostic tool for diagnosing and visualizing Bayesian inference.\"",
"link": "https://python.arviz.org",
"attribution_link": "https://www.arviz.org/en/latest/support.html#cite",
"zenodo_doi": "",
"custom_citation": "",
"dependencies": [
"matplotlib",
"numpy",
"pandas",
"python",
"scipy",
"xarray"
]
}
BibTeX
@article{arviz_2019,
doi = {10.21105/joss.01143},
url = {https://doi.org/10.21105/joss.01143},
year = {2019},
publisher = {The Open Journal},
volume = {4},
number = {33},
pages = {1143},
author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin},
title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python},
journal = {Journal of Open Source Software}
}
Citation information
BibTeX