hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
3 of 21 committers (14.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (17.0%) to scientific vocabulary
Keywords
Repository
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Basic Info
- Host: GitHub
- Owner: CCS-Lab
- License: gpl-3.0
- Language: TeX
- Default Branch: develop
- Homepage: https://ccs-lab.github.io/hBayesDM
- Size: 60 MB
Statistics
- Stars: 245
- Watchers: 16
- Forks: 115
- Open Issues: 25
- Releases: 21
Topics
Metadata Files
README.md
hBayesDM 
hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks) is a user-friendly package that offers hierarchical Bayesian analysis of various computational models on an array of decision-making tasks. hBayesDM uses Stan for Bayesian inference.
Now, hBayesDM supports both R and Python!
Quick Links
- Tutorial: https://ccs-lab.github.io/hBayesDM/articles/getting_started.html (R) & https://hbayesdm.readthedocs.io (Python)
- Mailing list: https://groups.google.com/forum/#!forum/hbayesdm-users
- Bug reports: https://github.com/CCS-Lab/hBayesDM/issues
- Contributing: See the Wiki of this repository.
Citation
If you used hBayesDM or some of its codes for your research, please cite this paper:
bibtex
@article{hBayesDM,
title = {Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the {hBayesDM} Package},
author = {Ahn, Woo-Young and Haines, Nathaniel and Zhang, Lei},
journal = {Computational Psychiatry},
year = {2017},
volume = {1},
pages = {24--57},
publisher = {MIT Press},
url = {doi:10.1162/CPSY_a_00002},
}
Logo
We thank HuaFeng Lu who designed and donated the logo for the hBayesDM package.
Acknowledgement
The research was supported by the Institute for Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2019-0-01367, BabyMind), the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Science, ICT, and Future Planning (NRF-2018R1C1B3007313 and NRF-2018R1A4A1025891), and the Creative-Pioneering Researchers Program through Seoul National University to Woo-Young Ahn.
Owner
- Name: Computational Clinical Science Laboratory
- Login: CCS-Lab
- Kind: organization
- Location: Seoul National University (Seoul, Korea)
- Website: ccs-lab.github.io
- Repositories: 16
- Profile: https://github.com/CCS-Lab
GitHub Events
Total
- Create event: 7
- Release event: 1
- Issues event: 5
- Watch event: 18
- Delete event: 3
- Member event: 1
- Issue comment event: 6
- Push event: 34
- Pull request review comment event: 1
- Pull request event: 9
- Fork event: 7
Last Year
- Create event: 7
- Release event: 1
- Issues event: 5
- Watch event: 18
- Delete event: 3
- Member event: 1
- Issue comment event: 6
- Push event: 34
- Pull request review comment event: 1
- Pull request event: 9
- Fork event: 7
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jaeyeong Yang | j****5@g****m | 382 |
| Jethro Lee | d****6@g****m | 248 |
| Young Ahn | w****n@g****m | 46 |
| PluVian | u****2@g****m | 32 |
| zohyos7 | z****7@g****m | 22 |
| hydoh | h****h@g****m | 19 |
| Woo-Young Ahn | y****n | 14 |
| paulhendricks | p****3@o****u | 13 |
| Unknown | h****2@g****m | 11 |
| Ben Goodrich | g****n@g****m | 9 |
| cheoljun | c****l@s****r | 9 |
| Nathaniel-Haines | h****5@o****m | 7 |
| Jaeyeong Yang | p****y@g****m | 6 |
| David Muñoz Tord | d****z@e****h | 3 |
| HeesunPark | h****6@g****m | 2 |
| Lili Zhang | 3****b | 2 |
| Alexandra Pike | a****2@g****m | 1 |
| Jethro Lee | d****g@n****m | 1 |
| Nathaniel Haines | n****s@g****m | 1 |
| David Munoz Tord | d****M@p****n | 1 |
| Hoyoung Doh | 4****h | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 70
- Total pull requests: 51
- Average time to close issues: 6 months
- Average time to close pull requests: 15 days
- Total issue authors: 44
- Total pull request authors: 16
- Average comments per issue: 1.93
- Average comments per pull request: 0.49
- Merged pull requests: 42
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 4
- Pull requests: 7
- Average time to close issues: N/A
- Average time to close pull requests: 4 days
- Issue authors: 4
- Pull request authors: 1
- Average comments per issue: 0.5
- Average comments per pull request: 0.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- dlemfh (19)
- JaeyeongYang (5)
- vincent5290 (2)
- apike02 (2)
- Nathaniel-Haines (2)
- youngahn (2)
- troyhouser (1)
- npdrbong (1)
- kshtjkumar (1)
- CarlyLasagna (1)
- anamkr (1)
- hauselin (1)
- lukelikelihood (1)
- maxmantei (1)
- Folquet (1)
Pull Request Authors
- JaeyeongYang (21)
- bugoverdose (7)
- dlemfh (6)
- hydoh (2)
- zohyos7 (2)
- HarhimPark (2)
- cheoljun95 (2)
- apike02 (1)
- andrjohns (1)
- HeesunPark26 (1)
- steffen-stell (1)
- mkdir-eherms (1)
- plonskipe (1)
- lilihub (1)
- munoztd0 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- cran 660 last-month
- pypi 32 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 26
- Total maintainers: 3
pypi.org: hbayesdm
Python interface for hBayesDM, hierarchical Bayesian modeling of RL-DM tasks
- Homepage: https://github.com/CCS-Lab/hBayesDM
- Documentation: https://hbayesdm.readthedocs.io/
- License: GPLv3
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Latest release: 1.1.1
published almost 5 years ago
Rankings
Maintainers (2)
cran.r-project.org: hBayesDM
Hierarchical Bayesian Modeling of Decision-Making Tasks
- Homepage: https://github.com/CCS-Lab/hBayesDM
- Documentation: http://cran.r-project.org/web/packages/hBayesDM/hBayesDM.pdf
- License: GPL-3
-
Latest release: 1.2.1
published over 3 years ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.4.0 depends
- Rcpp >= 0.12.0 depends
- methods * depends
- data.table * imports
- ggplot2 * imports
- grid * imports
- loo >= 2.0 imports
- parallel * imports
- rstan >= 2.18.1 imports
- testthat * suggests
- arviz *
- flake8 *
- matplotlib *
- numpy *
- pandas *
- pylint *
- pystan *
- pytest *
- pytest-rerunfailures *
- scipy *
- sphinx *
- sphinx-autodoc-typehints *
- sphinx-rtd-theme *
- Sphinx ^3.3.1 develop
- autopep8 ^1.5.4 develop
- flake8 ^3.8.4 develop
- mypy ^0.790 develop
- pylint ^2.6.0 develop
- pytest ^6.1.2 develop
- pytest-rerunfailures ^9.1.1 develop
- sphinx-autodoc-typehints ^1.11.1 develop
- sphinx-rtd-theme ^0.5.0 develop
- arviz ^0.10.0
- importlib-metadata ^3.3.0
- matplotlib ^3.3.3
- numpy ^1.19.4
- pandas ^1.1.5
- pystan ^2.19.1
- python >=3.6.1
- scipy ^1.5.4
- arviz *
- flake8 *
- matplotlib *
- numpy *
- pandas *
- pylint *
- pystan *
- pytest *
- pytest-rerunfailures *
- scipy *
- sphinx *
- sphinx-autodoc-typehints *
- sphinx-rtd-theme *
- arviz *
- matplotlib *
- numpy *
- pandas *
- pystan >=2.19.1,<3.0.0
- scipy *
- pyyaml *