dapper
R package for conducting privacy aware bayesian inference.
Science Score: 13.0%
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○CITATION.cff file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (4.3%) to scientific vocabulary
Last synced: 9 months ago
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Repository
R package for conducting privacy aware bayesian inference.
Basic Info
Statistics
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 2
- Releases: 0
Created about 3 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
License
README.md
dapper
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A data augmentation framework for privacy aware Bayesian inference.
Installation
Under construction. Latest release can be installed using the following:
r
devtools::install_github("mango-empire/dapper")
Owner
- Name: Kevin Eng
- Login: mango-empire
- Kind: user
- Repositories: 1
- Profile: https://github.com/mango-empire
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GitHub Events
Total
- Issues event: 1
- Push event: 8
Last Year
- Issues event: 1
- Push event: 8
Packages
- Total packages: 1
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Total downloads:
- cran 455 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
cran.r-project.org: dapper
Data Augmentation for Private Posterior Estimation
- Homepage: https://github.com/mango-empire/dapper
- Documentation: http://cran.r-project.org/web/packages/dapper/dapper.pdf
- License: MIT + file LICENSE
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Latest release: 1.0.1
published over 1 year ago
Rankings
Dependent packages count: 28.6%
Dependent repos count: 35.2%
Average: 50.1%
Downloads: 86.7%
Maintainers (1)
Last synced:
10 months ago