Package: DPpack
Type: Package
Title: Differentially Private Statistical Analysis and Machine Learning
Version: 0.2.2
Authors@R: c(person("Spencer", "Giddens", email="giddens2spencer@gmail.com",
                    role=c("aut", "cre")),
    person("Fang", "Liu", email="fliu2@nd.edu", role=c("ctb")))
Maintainer: Spencer Giddens <giddens2spencer@gmail.com>
Description: 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>.
License: GPL-3 | file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
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)
RdMacros: Rdpack
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-10-20 02:44:42 UTC; spencergiddens
Author: Spencer Giddens [aut, cre],
  Fang Liu [ctb]
Repository: CRAN
Date/Publication: 2024-10-20 04:10:05 UTC
Built: R 4.4.3; ; 2026-01-12 20:14:00 UTC; windows
