bayes-toolbox

bayes-toolbox: A Python package for Bayesian statistics - Published in JOSS (2023)

https://github.com/hyosubkim/bayes-toolbox

Science Score: 98.0%

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
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 8 DOI reference(s) in README and JOSS metadata
✓
Academic publication links
Links to: joss.theoj.org, zenodo.org
○
Committers with academic emails
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Institutional organization owner
✓
JOSS paper metadata
Published in Journal of Open Source Software

Keywords

bayesian-inference bayesian-statistics kruschke probabilistic-programming python statistics

Scientific Fields

Earth and Environmental Sciences Physical Sciences - 87% confidence

Economics Social Sciences - 85% confidence

Last synced: 4 months ago · JSON representation ·

Repository

bayes-toolbox

Basic Info

Host: GitHub
Owner: hyosubkim
License: other
Language: Python
Default Branch: main
Homepage: https://hyosubkim.github.io/bayes-toolbox/
Size: 212 MB

Statistics

Stars: 93
Watchers: 3
Forks: 6
Open Issues: 4
Releases: 8

Topics

bayesian-inference bayesian-statistics kruschke probabilistic-programming python statistics

Created about 3 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog Contributing License Citation

bayes-toolbox

bayes-toolbox (aka, Bayesian Statistics Toolbox [BST]) is a Python package for running sophisticated Bayesian analyses in a simple, straight forward manner.

Documentation

The documentation for bayes-toolbox is hosted here.

Installation

The recommended method of installing bayes-toolbox is with pip: pip install bayes_toolbox

See the installation instructions in the documentation for more detailed information.

Citing bayes-toolbox

If you use bayes-toolbox in your work, please cite our Journal of Open Source Software (JOSS) article:

APA format:
Kim, H. E. (2023). bayes-toolbox: A Python package for Bayesian statistics. Journal of Open Source Software, 8(90), 5526. https://doi.org/10.21105/joss.05526

BibTeX format: @article{Kim_bayes-toolbox_A_Python_2023, author = {Kim, Hyosub E.}, doi = {10.21105/joss.05526}, journal = {Journal of Open Source Software}, month = oct, number = {90}, pages = {5526}, title = {{bayes-toolbox: A Python package for Bayesian statistics}}, url = {https://joss.theoj.org/papers/10.21105/joss.05526}, volume = {8}, year = {2023} }

License

This work is distributed for free under a MIT license.

Acknowledgments

Thank you to the following people for generously sharing their work and knowledge: - John Kruschke - Richard McElreath - Jordi Warmenhoven - PyMC developers - ArviZ developers

Contributors

See the CONTRIBUTORS.md file for a regularly updated list of contributors.

Owner

Name: Hyosub Kim
Login: hyosubkim
Kind: user

Website: https://osf.io/y75ud/wiki/home/
Twitter: HyosubEKim
Repositories: 2
Profile: https://github.com/hyosubkim

Sensorimotor learning

JOSS Publication

bayes-toolbox: A Python package for Bayesian statistics

Published

October 27, 2023

DOI

10.21105/joss.05526

Volume 8, Issue 90, Page 5526

Authors

Hyosub E. Kim

School of Kinesiology, The University of British Columbia, Canada, Department of Physical Therapy, University of Delaware, United States

Editor

Samuel Forbes

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: Kim
  given-names: Hyosub E.
  orcid: "https://orcid.org/0000-0003-0109-593X"
doi: 10.5281/zenodo.7849408
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Kim
    given-names: Hyosub E.
    orcid: "https://orcid.org/0000-0003-0109-593X"
  date-published: 2023-10-27
  doi: 10.21105/joss.05526
  issn: 2475-9066
  issue: 90
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 5526
  title: "bayes-toolbox: A Python package for Bayesian statistics"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.05526"
  volume: 8
title: "bayes-toolbox: A Python package for Bayesian statistics"

GitHub Events

Total

Release event: 1
Watch event: 2
Push event: 15
Pull request event: 21
Fork event: 1
Create event: 6

Last Year

Release event: 1
Watch event: 2
Push event: 15
Pull request event: 21
Fork event: 1
Create event: 6

Committers

Last synced: 5 months ago

All Time

Total Commits: 291
Total Committers: 4
Avg Commits per committer: 72.75
Development Distribution Score (DDS): 0.082

Past Year

Commits: 24
Committers: 2
Avg Commits per committer: 12.0
Development Distribution Score (DDS): 0.083

Top Committers

Name	Email	Commits
Hyosub Kim	h**1@g**m	267
emilyec0	e**3@g**m	22
Ravin Kumar	7****9	1
Juanjo Bazán	j**n@g**m	1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 8
Total pull requests: 28
Average time to close issues: 2 months
Average time to close pull requests: 6 days
Total issue authors: 2
Total pull request authors: 4
Average comments per issue: 3.38
Average comments per pull request: 0.0
Merged pull requests: 26
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 16
Average time to close issues: N/A
Average time to close pull requests: about 3 hours
Issue authors: 0
Pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 16
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

canyon289 (6)
DLWCMD (2)

Pull Request Authors

emilyec0 (29)
hyosubkim (10)
canyon289 (1)
xuanxu (1)

Top Labels

Issue Labels

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- pypi 85 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 9
Total maintainers: 2

pypi.org: bayes-toolbox

A package for performing Bayesian analyses.

Homepage: https://github.com/hyosubkim/bayes-toolbox
Documentation: https://hyosubkim.github.io/bayes-toolbox/
License: MIT License
Latest release: 0.1.6
published 6 months ago

Versions: 9
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 85 Last month

Rankings

Dependent packages count: 7.1%

Average: 19.7%

Dependent repos count: 32.2%

Maintainers (2)

hyosub emilyzc

Last synced: 4 months ago

Dependencies

pyproject.toml pypi

aesara ~=2.8.7
arviz ~=0.13.0
numpy ~=1.23.4
pandas ~=1.5.1
pymc ~=4.3.0
setuptools ~=65.5.1

requirements.txt pypi

aesara ==2.8.7
arviz ==0.13.0
numpy ==1.23.4
pandas ==1.5.1
pymc ==4.3.0
setuptools ==65.5.1

.github/workflows/draft-pdf.yml actions

actions/checkout v3 composite
actions/upload-artifact v1 composite
openjournals/openjournals-draft-action master composite

.github/workflows/github-actions-demo.yml actions

actions/checkout v4 composite
codecov/codecov-action v3 composite

.github/workflows/test.yml actions

environment.yml conda

aeppl 0.0.38
aeppl-base 0.0.38
aesara 2.8.7
aesara-base 2.8.7
anyio 3.6.2
appnope 0.1.3
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
arviz 0.13.0
asttokens 2.1.0
atk-1.0 2.38.0
attrs 22.1.0
babel 2.11.0
backcall 0.2.0
backports 1.0
backports.functools_lru_cache 1.6.4
beautifulsoup4 4.11.1
blas 2.116
blas-devel 3.9.0
bleach 5.0.1
brotli 1.0.9
brotli-bin 1.0.9
brotlipy 0.7.0
bzip2 1.0.8
c-ares 1.18.1
c-compiler 1.5.1
ca-certificates 2023.08.22
cachetools 5.2.0
cairo 1.16.0
cctools 973.0.1
cctools_osx-64 973.0.1
certifi 2023.7.22
cffi 1.15.1
cftime 1.6.2
charset-normalizer 2.1.1
clang 14.0.6
clang-14 14.0.6
clang_osx-64 14.0.6
clangxx 14.0.6
clangxx_osx-64 14.0.6
cloudpickle 2.2.0
compiler-rt 14.0.6
compiler-rt_osx-64 14.0.6
cons 0.4.5
contourpy 1.0.6
cryptography 38.0.3
curl 7.86.0
cxx-compiler 1.5.1
cycler 0.11.0
debugpy 1.6.3
decorator 5.1.1
defusedxml 0.7.1
entrypoints 0.4
etuples 0.3.8
executing 1.2.0
expat 2.5.0
fastprogress 1.0.3
filelock 3.8.0
flit-core 3.8.0
font-ttf-dejavu-sans-mono 2.37
font-ttf-inconsolata 2.001
font-ttf-source-code-pro 2.030
font-ttf-ubuntu 0.83
fontconfig 2.14.1
fonts-anaconda 1
fonts-conda-ecosystem 1
fonts-conda-forge 1
fonttools 4.38.0
freetype 2.12.1
fribidi 1.0.10
gdk-pixbuf 2.42.8
gettext 0.21.1
giflib 5.2.1
graphite2 1.3.14
graphviz 6.0.1
gtk2 2.24.33
gts 0.7.6
harfbuzz 5.3.0
hdf4 4.2.15
hdf5 1.12.2
icu 70.1
idna 3.4
importlib-metadata 5.0.0
importlib_resources 5.10.0
ipykernel 6.17.1
ipython 8.6.0
ipython_genutils 0.2.0
jedi 0.18.1
jinja2 3.1.2
jpeg 9e
json5 0.9.5
jsonschema 4.17.0
jupyter_client 7.4.5
jupyter_core 5.0.0
jupyter_server 1.23.1
jupyterlab 3.5.0
jupyterlab_pygments 0.2.2
jupyterlab_server 2.16.3
kiwisolver 1.4.4
krb5 1.19.3
lcms2 2.14
ld64 609
ld64_osx-64 609
lerc 4.0.0
libblas 3.9.0
libbrotlicommon 1.0.9
libbrotlidec 1.0.9
libbrotlienc 1.0.9
libcblas 3.9.0
libclang-cpp14 14.0.6
libcurl 7.86.0
libcxx 14.0.6
libdeflate 1.14
libedit 3.1.20191231
libev 4.33
libffi 3.4.2
libgd 2.3.3
libgfortran 5.0.0
libgfortran5 11.3.0
libglib 2.74.1
libiconv 1.17
liblapack 3.9.0
liblapacke 3.9.0
libllvm14 14.0.6
libnetcdf 4.8.1
libnghttp2 1.47.0
libopenblas 0.3.21
libpng 1.6.38
librsvg 2.54.4
libsodium 1.0.18
libsqlite 3.39.4
libssh2 1.10.0
libtiff 4.4.0
libtool 2.4.6
libwebp 1.2.4
libwebp-base 1.2.4
libxcb 1.13
libxml2 2.10.3
libzip 1.9.2
libzlib 1.2.13
llvm-openmp 15.0.4
llvm-tools 14.0.6
logical-unification 0.4.5
markupsafe 2.1.1
matplotlib-base 3.6.2
matplotlib-inline 0.1.6
minikanren 1.0.3
mistune 2.0.4
mkl 2022.1.0
mkl-service 2.4.0
multipledispatch 0.6.0
munkres 1.1.4
nbclassic 0.4.8
nbclient 0.7.0
nbconvert 7.2.4
nbconvert-core 7.2.4
nbconvert-pandoc 7.2.4
nbformat 5.7.0
ncurses 6.3
nest-asyncio 1.5.6
netcdf4 1.6.1
notebook 6.5.2
notebook-shim 0.2.2
numpy 1.23.4
openblas 0.3.21
openjpeg 2.5.0
openssl 3.0.11
packaging 23.1
pandas 1.5.1
pandoc 2.19.2
pandocfilters 1.5.0
pango 1.50.11
parso 0.8.3
patsy 0.5.3
pcre2 10.40
pexpect 4.8.0
pickleshare 0.7.5
pillow 9.2.0
pip 22.3.1
pixman 0.40.0
pkgutil-resolve-name 1.3.10
platformdirs 2.5.2
prometheus_client 0.15.0
prompt-toolkit 3.0.32
psutil 5.9.4
pthread-stubs 0.4
ptyprocess 0.7.0
pure_eval 0.2.2
pycparser 2.21
pygments 2.13.0
pymc 4.3.0
pymc-base 4.3.0
pyopenssl 22.1.0
pyparsing 3.0.9
pyrsistent 0.19.2
pysocks 1.7.1
python 3.11.0
python-dateutil 2.8.2
python-fastjsonschema 2.16.2
python-graphviz 0.20.1
python_abi 3.11
pytz 2022.6
pyzmq 24.0.1
readline 8.1.2
requests 2.28.1
scipy 1.9.3
seaborn 0.12.1
seaborn-base 0.12.1
send2trash 1.8.0
setuptools 65.5.1
sigtool 0.1.3
six 1.16.0
sniffio 1.3.0
soupsieve 2.3.2.post1
stack_data 0.6.0
statsmodels 0.13.5
tapi 1100.0.11
tbb 2021.6.0
terminado 0.17.0
tinycss2 1.2.1
tk 8.6.12
tomli 2.0.1
toolz 0.12.0
tornado 6.2
traitlets 5.5.0
typing-extensions 4.4.0
typing_extensions 4.4.0
tzdata 2022f
urllib3 1.26.11
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 1.4.2
wheel 0.38.4
xarray 2022.11.0
xarray-einstats 0.3.0
xorg-libxau 1.0.9
xorg-libxdmcp 1.1.3
xz 5.2.6
zeromq 4.3.4
zipp 3.10.0
zlib 1.2.13
zstd 1.5.2

bayes-toolbox

Science Score: 98.0%

Keywords

Scientific Fields

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

bayes-toolbox

Documentation

Installation

Citing bayes-toolbox

License

Acknowledgments

Contributors

Owner

JOSS Publication

bayes-toolbox: A Python package for Bayesian statistics

Authors

Editor

Tags

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

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Packages

pypi.org: bayes-toolbox

Rankings

Maintainers (2)

Dependencies