https://github.com/amazon-science/hierarchical-bayesian-analysis-with-bang
https://github.com/amazon-science/hierarchical-bayesian-analysis-with-bang
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Scientific vocabulary similarity
Low similarity (5.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: amazon-science
- License: gpl-2.0
- Language: R
- Default Branch: main
- Size: 23.4 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Hierarchical Bayesian Analysis
This package contains the Hierarchical Bayesian model to predict sample size for online activity. The bang package (https://cran.rstudio.com/web/packages/bang/index.html) was used and accelerated by modifying it to use sufficient statistics, and to only simulate from the posterior over the hyper-parameters.
"misc.R", "betaprior.R", "binombeta.R", "hef.R" and "setandcheckprior.R" are source files from bang packages (https://cran.rstudio.com/web/packages/bang/index.html). New functions "betainitestsnew" and "hefnew" are added to "beta_prior.R" and "hef.R" separately.
"main.R" shows a toy example how to run the sample size prediction model.
Security
See CONTRIBUTING for more information.
License
This library is licensed under the GNU GPLv2 License.
Owner
- Name: Amazon Science
- Login: amazon-science
- Kind: organization
- Website: https://amazon.science
- Twitter: AmazonScience
- Repositories: 80
- Profile: https://github.com/amazon-science
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Yu Liu | y****z@a****m | 3 |
| Amazon GitHub Automation | 5****o | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
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- Total issue authors: 0
- Total 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
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