pda
Privacy-Preserving Distributed Algorithms
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/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.0 |
rolling linux/jammy R-4.5 | pda_1.3.0.tar.gz |
882.0 KiB |
1.3.0 |
rolling linux/noble R-4.5 | pda_1.3.0.tar.gz |
885.8 KiB |
1.3.0 |
rolling source/ R- | pda_1.3.0.tar.gz |
360.2 KiB |
1.3.0 |
latest linux/jammy R-4.5 | pda_1.3.0.tar.gz |
882.0 KiB |
1.3.0 |
latest linux/noble R-4.5 | pda_1.3.0.tar.gz |
885.8 KiB |
1.3.0 |
latest source/ R- | pda_1.3.0.tar.gz |
360.2 KiB |
1.3.0 |
2026-04-26 source/ R- | pda_1.3.0.tar.gz |
360.2 KiB |
1.3.0 |
2026-04-23 source/ R- | pda_1.3.0.tar.gz |
360.2 KiB |
1.3.0 |
2026-04-09 windows/windows R-4.5 | pda_1.3.0.zip |
1.1 MiB |
1.2.8 |
2025-04-20 source/ R- | pda_1.2.8.tar.gz |
198.6 KiB |