https://github.com/bgctw/distributions.jl
A Julia package for probability distributions and associated functions.
Science Score: 41.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (14.7%) to scientific vocabulary
Repository
A Julia package for probability distributions and associated functions.
Basic Info
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Distributions.jl
A Julia package for probability distributions and associated functions. Particularly, Distributions implements:
- Moments (e.g mean, variance, skewness, and kurtosis), entropy, and other properties
- Probability density/mass functions (pdf) and their logarithm (logpdf)
- Moment generating functions and characteristic functions
- Sampling from a population or from a distribution
- Maximum likelihood estimation
Note: The functionalities related to conjugate priors have been moved to the ConjugatePriors package.
Resources
Documentation: https://JuliaStats.github.io/Distributions.jl/stable/
Support: We use GitHub for the development of the Julia package Distributions itself. For support and questions, please use the Julia Discourse forum. Also, for casual conversation and quick questions, there are the channels
#helpdeskand#statisticsin the official Julia chat (https://julialang.slack.com). To get an invitation, please visit https://julialang.org/slack/.
Contributing
Reporting issues
- If you need help or an explanation of how to use Distributions ask in the forum (https://discourse.julialang.org) or, for informal questions, visit the chat (https://julialang.slack.com).
If you have a bug linked with Distributions, check that it has
not been reported yet on the issues of the repository.
If not, you can file a new issue, add your version of the package
which you can get with this command in the Julia REPL:
julia
julia> ]status Distributions
Be exhaustive in your report, summarize the bug, and provide: a Minimal Working Example (MWE), what happens, and what you expected to happen.
Workflow with Git and GitHub
To contribute to the package, fork the repository on GitHub, clone it and make modifications on a new branch, do not commit modifications on master. Once your changes are made, push them on your fork and create the Pull Request on the main repository.
Requirements
Distributions is a central package which many rely on,
the following are required for contributions to be accepted:
1. Docstrings must be added to all interface and non-trivial functions.
2. Tests validating the modified behavior in the test folder. If new test files are added, do not forget to add them in test/runtests.jl. Cover possible edge cases. Run the tests locally before submitting the PR.
3. At the end of the tests, Test.detect_ambiguities(Distributions) is run to check method ambiguities. Verify that your modified code did not yield method ambiguities.
4. Make corresponding modifications to the docs folder, build the documentation locally and verify that your modifications display correctly and did not yield warnings. To build the documentation locally, you first need to instantiate the docs/ project:
julia --project=docs/
pkg> instantiate
pkg> dev .
Then use julia --project=docs/ docs/make.jl to build the documentation.
Citing
See CITATION.bib, or use the DOI badge above.
Owner
- Name: Thomas Wutzler
- Login: bgctw
- Kind: user
- Repositories: 54
- Profile: https://github.com/bgctw
Citation (CITATION.bib)
% reference paper
@article{JSSv098i16,
author = {Mathieu Besançon and Theodore Papamarkou and David Anthoff and Alex Arslan and Simon Byrne and Dahua Lin and John Pearson},
title = {Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem},
journal = {Journal of Statistical Software},
volume = {98},
number = {16},
year = {2021},
keywords = {Julia; distributions; modeling; interface; mixture; KDE; sampling; probabilistic programming; inference},
issn = {1548-7660},
pages = {1--30},
doi = {10.18637/jss.v098.i16},
url = {https://www.jstatsoft.org/v098/i16}
}
% reference for the software itself
@misc{Distributions.jl-2019,
author = {Dahua Lin and
John Myles White and
Simon Byrne and
Douglas Bates and
Andreas Noack and
John Pearson and
Alex Arslan and
Kevin Squire and
David Anthoff and
Theodore Papamarkou and
Mathieu Besançon and
Jan Drugowitsch and
Moritz Schauer and
other contributors},
title = {{JuliaStats/Distributions.jl: a Julia package for probability distributions and associated functions}},
month = jul,
year = 2019,
doi = {10.5281/zenodo.2647458},
url = {https://doi.org/10.5281/zenodo.2647458}
}
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3