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 (<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/>.
Version: 1.2.8 Depends: R (≥ 4.1.0) Imports: Rcpp (≥ 0.12.19), stats, httr, rvest, jsonlite, data.table, survival, minqa, glmnet, MASS, numDeriv, metafor, ordinal, plyr LinkingTo: Rcpp, RcppArmadillo Suggests: imager, lme4 Published: 2025-03-10 DOI: 10.32614/CRAN.package.pda Author: Chongliang Luo [aut], Rui Duan [aut], Mackenzie Edmondson [aut], Jiayi Tong [aut], Xiaokang Liu [aut], Kenneth Locke [aut], Yiwen Lu [cre], Yong Chen [aut], Penn Computing Inference Learning (PennCIL) lab [cph] Maintainer: Yiwen Lu <yiwenlu at sas.upenn.edu> License: Apache License 2.0 NeedsCompilation: yes Materials: NEWS CRAN checks: pda results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pda to link to this page.
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