pda
1.3.0Privacy-Preserving Distributed Algorithms
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 17%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.3.0Latest
- RR 4.5.0 released · 2025-04-11
- 1.2.82025-03-10 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.2.72024-03-04 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.2.62023-03-08 · diff ↗
- 1.2.52023-02-22 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0-22020-12-10 · diff ↗
- 1.02020-11-23
- RR 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")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.
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.