TomWagg / software-citation-station

A website for making citing software used in your research quick and easy
23 stars 2 forks source link

[NEW SUBMISSION] ArviZ #53

Closed tcallister closed 1 month ago

tcallister commented 1 month ago

ArviZ

Citation information

"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}
}
TomWagg commented 1 month ago

Thanks @tcallister! I just added it and also added this Zenodo record which I think is correct, let me know if not!

tcallister commented 1 month ago

Thank you @TomWagg! (And thanks for continued support of this awesome tool!)