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pda

1.3.0

Privacy-Preserving Distributed Algorithms

0packages depend
13.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Chongliang LuoFirst published 2020-11-237 releasesCRAN page ↗

A collection of privacy-preserving distributed algorithms (PDAs) for conducting federated statistical learning across multiple data sites. The PDA framework includes models for various tasks such as regression, trial emulation, causal inference, design-specific analysis, and clustering. The PDA algorithms run on a lead site and only require summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online data transfer system (https://pda-ota.pdamethods.org/) for safe and convenient collaboration. For more information, please visit our software websites: https://github.com/Penncil/pda, and https://pdamethods.org/.

Install

Health

CRAN checks
13OK
Slowest check: 5.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
22
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
17%

Downloads

13.4K
CRAN downloads in the past year
Rank #12,109 · ~37/day · ~1.1K/mo
Daily download trend is not available in this view yet.
21930 days
82490 days
13.4K1 year
Compare downloads with other packages →
Also on394 r2u16 autocran

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (14)
Maintainer (1)
Maintainer
Authors (12)
Author
Author
Author · added in 1.3.0
Author · added in 1.3.0
Author · added in 1.2.5
Author · added in 1.2.5
Author · added in 1.2.8
Author · added in 1.3.0
Author · added in 1.3.0
Author · added in 1.3.0
Copyright holders (1)
Listed in earlier versions (1)
no longer listed · 1.2.5 to 1.2.7
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.0Latest
    2025-11-17 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.2.8
    2025-03-10 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.7
    2024-03-04 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.6
    2023-03-08 · diff ↗
  • 1.2.5
    2023-02-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0-2
    2020-12-10 · diff ↗
  • 1.0
    2020-11-23
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-23
Total releases
7 / 6 yrs
License
Apache License 2.0 OSI
Minimum R
≥ 4.1.0
Bundled data
235 KB / 13 files
Download size
361 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pda")
Luo, C., Penn Computing Inference Learning (PennCIL) lab, Chen, Y., Duan, R., Edmondson, M., Hu, J., Li, L., Liu, X., Locke, K., Lu, Y., Shen, Y., Tong, J., Wang, Y., & Zhang, B. (2025). pda: Privacy-Preserving Distributed Algorithms (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.pda

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pda version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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