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DPpack  

Differentially Private Statistical Analysis and Machine Learning
View on CRAN: Click here


Download and install DPpack package within the R console
Install from CRAN:
install.packages("DPpack")

Install from Github:
library("remotes")
install_github("cran/DPpack")

Install by package version:
library("remotes")
install_version("DPpack", "0.2.2")



Attach the package and use:
library("DPpack")
Maintained by
Spencer Giddens
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-28
Latest Update: 2023-04-08
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 such as the Laplace mechanism (Dwork et al., 2006a) , Gaussian mechanism (Dwork et al., 2006b) , and exponential mechanism (McSherry & Talwar, 2007) .
How to cite:
Spencer Giddens (2022). DPpack: Differentially Private Statistical Analysis and Machine Learning. R package version 0.2.2, https://cran.r-project.org/web/packages/DPpack. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0.1 (2022-04-28 09:30), 0.0.11 (2022-08-25 20:22), 0.1.0 (2023-04-08 10:00), 0.2.0 (2024-09-19 07:50), 0.2.1 (2024-10-10 18:30)
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