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pda  

Privacy-Preserving Distributed Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pda", "1.3.0")



Attach the package and use:
library("pda")
Maintained by
Jiajie Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-23
Latest Update: 2025-03-10
Description:
A collection of privacy-preserving distributed algorithms for conducting multi-site data analyses. The regression analyses can be linear regression for continuous outcome, logistic regression for binary outcome, Cox proportional hazard regression for time-to event outcome, Poisson regression for count outcome, or multi-categorical regression for nominal or ordinal outcome. The PDA algorithm runs on a lead site and only requires summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online system () for safe and convenient collaboration. For more information, please visit our software websites: , and .
How to cite:
Jiajie Chen (2020). pda: Privacy-Preserving Distributed Algorithms. R package version 1.3.0, https://cran.r-project.org/web/packages/pda. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 1.0-2 (2020-12-10 22:20), 1.0 (2020-11-23 10:00), 1.2.5 (2023-02-22 16:40), 1.2.6 (2023-03-08 17:00), 1.2.7 (2024-03-04 18:30), 1.2.8 (2025-03-10 16:30)
Other packages that cited pda R package
View pda citation profile
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Complete documentation for pda
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