Package: pda
Type: Package
Title: Privacy-Preserving Distributed Algorithms
Version: 1.3.0
Date: 2025-11-11
Authors@R: c(person("Chongliang", "Luo", role=c("cre"), email ="luocl3009@gmail.com"),
                person("Rui", "Duan", role="aut"), person("Mackenzie", "Edmondson", role="aut"),
                person("Jiayi", "Tong", role="aut"), person("Xiaokang", "Liu", role="aut"),
                person("Kenneth", "Locke", role="aut"),
                person("Jie", "Hu", role="aut"),
                person("Bingyu", "Zhang", role="aut"),
                person("Yicheng", "Shen", role="aut"), 
                person("Yudong", "Wang", role="aut"),
                person("Yiwen", "Lu", role="aut"), 
                person("Lu", "Li", role="aut"), 
                person("Yong", "Chen", role="aut", email ="ychen123@upenn.edu"),
                person("Penn Computing Inference Learning (PennCIL) lab", role = c("cph")))
Description: 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/>.
Maintainer: Chongliang Luo <luocl3009@gmail.com>
License: Apache License 2.0
Suggests: lme4
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 0.12.19), stats, httr, rvest, jsonlite, data.table,
        cobalt, EmpiricalCalibration, survival, minqa, glmnet, MASS,
        numDeriv, metafor, Matrix, ordinal, plyr, tidyr, tibble, dplyr,
        geex, data.tree
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
RoxygenNote: 7.3.3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-16 07:33:40 UTC; root
Author: Chongliang Luo [cre], Rui Duan [aut], Mackenzie Edmondson
        [aut], Jiayi Tong [aut], Xiaokang Liu [aut], Kenneth Locke
        [aut], Jie Hu [aut], Bingyu Zhang [aut], Yicheng Shen [aut],
        Yudong Wang [aut], Yiwen Lu [aut], Lu Li [aut], Yong Chen
        [aut], Penn Computing Inference Learning (PennCIL) lab [cph]
Config/pak/sysreqs: cmake make libicu-dev libxml2-dev libssl-dev
Repository: https://chongliang-luo.r-universe.dev
Date/Publication: 2025-11-17 21:50:52 UTC
RemoteUrl: https://github.com/cran/pda
RemoteRef: HEAD
RemoteSha: 74ceb33e2a01610283d47550cd472343b3bf6747