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 Description: An implementation of common statistical analysis and models with differential privacy (Dwork et al., 2006a) 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) and SVM (Chaudhuri et al., 2011) . In addition, it implements some popular randomization mechanisms, including the Laplace mechanism (Dwork et al., 2006a) , Gaussian mechanism (Dwork et al., 2006b) , analytic Gaussian mechanism (Balle & Wang, 2018) , and exponential mechanism (McSherry & Talwar, 2007) . License: GPL-3 | file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) 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 Config/pak/sysreqs: cmake Repository: https://sgiddens.r-universe.dev Date/Publication: 2024-10-21 06:31:02 UTC RemoteUrl: https://github.com/sgiddens/dppack RemoteRef: HEAD RemoteSha: 0103183c50a06f95283e47bb519d4c96eab8ee9c NeedsCompilation: no Packaged: 2026-10-08 09:04:32 UTC; root Author: Spencer Giddens [aut, cre], Fang Liu [ctb]