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posteriorplots.jl

Graphical tools for Bayesian inference and posterior predictive checks

https://github.com/hendersontrent/posteriorplots.jl

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    Found CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
    Found 3 DOI reference(s) in README
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    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (14.5%) to scientific vocabulary

Keywords

bayesian bayesian-inference bayesian-statistics julia-language mcmc
Last synced: 6 months ago · JSON representation ·

Repository

Graphical tools for Bayesian inference and posterior predictive checks

Basic Info
  • Host: GitHub
  • Owner: hendersontrent
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 217 KB
Statistics
  • Stars: 21
  • Watchers: 3
  • Forks: 2
  • Open Issues: 3
  • Releases: 0
Topics
bayesian bayesian-inference bayesian-statistics julia-language mcmc
Created over 4 years ago · Last pushed over 4 years ago
Metadata Files
Readme License Citation

README.md

PosteriorPlots.jl

DOI Coverage

Graphical tools for Bayesian inference and posterior predictive checks.

Installation

You can install PosteriorPlots.jl from the Julia Registry via:

using Pkg Pkg.add("PosteriorPlots")

Motivation

R has excellent packages for the plotting and analysis of Bayesian models fit in probabilistic programming languages such as Stan. Examples of these packages include bayesplot and tidybayes. The functionality afforded by these packages greatly enables researchers to automatically obtain informative and clean graphical summaries of various posterior properties of interest. While packages such as MCMCChains.jl, ArviZ.jl, and others exist in Julia for models built in the PPLs Turing.jl and Soss.jl, the clean, inference-ready output aesthetics produced by bayesplot are not easily available by default. PosteriorPlots.jl seeks to bridge this gap. Since PosteriorPlots.jl functions can take standard object types such as Arrays as inputs (as well as special object types such as Chains), it can flexibly accommodate models from Stan and other PPLs.

Functionality

PosteriorPlots.jl provides intuitive and simple functionality for both statistical inference of model parameter posterior distributions as well as visualisation and interpretation of model fits and posterior diagnostics. Package functionality can be summarised across these two domains:

Statistical inference

  • Parameter pointwise estimates and credible intervals
  • Parameter posterior density/mass distributions
  • Parameter posterior histograms

Model diagnostics

  • Posterior predictive checks of distribution
  • Posterior predictive checks of probability mass/density
  • Posterior predictive checks of empirical cumulative density functions

Citation instructions

If you use PosteriorPlots.jl in your work, please cite it using the following (included as BibTeX file in the package folder):

@Manual{PosteriorPlots.jl, title={{PosteriorPlots.jl}}, author={Henderson, Trent}, year={2021}, month={6}, url={https://doi.org/10.5281/zenodo.5173723}, doi={10.5281/zenodo.5173723} }

Acknowledgements

Many thanks to Brendan Harris for error troubleshooting and other technical Julia advice.

Owner

  • Name: Trent Henderson
  • Login: hendersontrent
  • Kind: user
  • Location: Canberra, Australia
  • Company: Nous Group

Senior data scientist and statistics PhD student. Mostly coding in R, Julia, and Stan. Interested in genetic programming, time series, and data vis

Citation (CITATION.bib) 

@Manual{PosteriorPlots.jl,
  title={{PosteriorPlots.jl}},
  author={Henderson, Trent},
  year={2021},
  month={6},
  url={https://doi.org/10.5281/zenodo.5173723},
  doi={10.5281/zenodo.5173723}
}

GitHub Events

Total
Last Year

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 128
  • Total Committers: 4
  • Avg Commits per committer: 32.0
  • Development Distribution Score (DDS): 0.422
Top Committers
Name Email Commits
Trent Henderson t****n@T****l 74
TRENT HENDERSON t****1@o****m 51
Trent Henderson 6****t@u****m 2
agdenadel a****l@g****m 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 21
  • Total pull requests: 47
  • Average time to close issues: 7 days
  • Average time to close pull requests: about 3 hours
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 0.81
  • Average comments per pull request: 0.09
  • Merged pull requests: 47
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • hendersontrent (18)
  • cscherrer (2)
  • ParadaCarleton (1)
Pull Request Authors
  • hendersontrent (46)
  • agdenadel (1)
Top Labels
Issue Labels
enhancement (14) plot-aesthetics (2) documentation (2) question (1) bug (1)
Pull Request Labels
enhancement (13) documentation (10) bug (3) tests (2) plot-aesthetics (1)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
juliahub.com: PosteriorPlots

Graphical tools for Bayesian inference and posterior predictive checks

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 9.9%
Stargazers count: 23.4%
Average: 26.4%
Forks count: 33.3%
Dependent packages count: 38.9%
Last synced: 6 months ago