dapper

cranv1.1.0

Data Augmentation for Private Posterior Estimation. A data augmentation based sampler for conducting privacy-aware Bayesian inference. The dapper_sample() function takes an existing sampler as input and automatically constructs a privacy-aware sampler. The process of constructing a sampler is simplified through the specification of four independent m

License MIT + file LICENSE0 versions1 maintainers7 deps67 weekly dl
mango-empire/dapper
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[email protected] is safe to use (health: 47/100)

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20/25
maintenance
0/20
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25/25
security
0/15
maturity
2/15
community
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0
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Dependencies (7)
bayesplotcheckmatefurrrmemoiseposteriorprogressrstats
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First published · 2026-02-02 06:43:28

Last updated · 2026-02-02T05:30:58+00:00