DPpack: Differentially Private Statistical Analysis and Machine Learning

An implementation of common statistical analysis and models with differential privacy (Dwork et al., 2006a) <doi:10.1007/11681878_14> guarantees. The package contains, for example, functions providing differentially private computations of mean, variance, median, histograms, and contingency tables. It also implements some statistical models and machine learning algorithms such as linear regression (Kifer et al., 2012) <https://proceedings.mlr.press/v23/kifer12.html> and SVM (Chaudhuri et al., 2011) <https://jmlr.org/papers/v12/chaudhuri11a.html>. In addition, it implements some popular randomization mechanisms, including the Laplace mechanism (Dwork et al., 2006a) <doi:10.1007/11681878_14>, Gaussian mechanism (Dwork et al., 2006b) <doi:10.1007/11761679_29>, analytic Gaussian mechanism (Balle & Wang, 2018) <https://proceedings.mlr.press/v80/balle18a.html>, and exponential mechanism (McSherry & Talwar, 2007) <doi:10.1109/FOCS.2007.66>.

Version:	0.2.2
Imports:	rmutil (≥ 1.1.5), Rdpack (≥ 2.1.2), R6 (≥ 2.5.1), dplyr (≥ 1.0.1), MASS (≥ 7.3-51.6), nloptr (≥ 1.2.2.2), e1071 (≥ 1.7-9), stats (≥ 4.0.2), graphics (≥ 4.0.2), ggplot2 (≥ 3.3.2)
Suggests:	testthat (≥ 3.0.0)
Published:	2024-10-20
DOI:	10.32614/CRAN.package.DPpack
Author:	Spencer Giddens [aut, cre], Fang Liu [ctb]
Maintainer:	Spencer Giddens <giddens2spencer at gmail.com>
License:	GPL-3 | file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	DPpack results

Documentation:

Reference manual:

DPpack.pdf

Downloads:

Package source:	DPpack_0.2.2.tar.gz
Windows binaries:	r-devel: DPpack_0.2.2.zip, r-release: DPpack_0.2.2.zip, r-oldrel: DPpack_0.2.2.zip
macOS binaries:	r-release (arm64): DPpack_0.2.2.tgz, r-oldrel (arm64): DPpack_0.2.2.tgz, r-release (x86_64): DPpack_0.2.2.tgz, r-oldrel (x86_64): DPpack_0.2.2.tgz
Old sources:	DPpack archive

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