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pda (version 1.3.0)

Privacy-Preserving Distributed Algorithms

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 () for safe and convenient collaboration. For more information, please visit our software websites: , and .

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Version

Install

install.packages('pda')

Monthly Downloads

9,724

Version

1.3.0

License

Apache License 2.0

Maintainer

Chongliang Luo

Last Published

November 17th, 2025

Functions in pda (1.3.0)

ODAC.synthesize

PDA synthesize surrogate estimates from all sites, optional

Length of Stay data

ODACAT derivatives

ODAC.initialize

ODAC initialize

Generate pda UWZ derivatives

LATTE simulated data

Generate pda UWZ summary statistics before calculating derivatives

LATTE LATTE.estimate

PDA surrogate estimation

LATTE.initialize

LATTE initialize

ODACATH.initialize

ODACATH initialize

ODACATH.synthesize

PDA synthesize surrogate estimates from all sites, optional

ODACAT.estimate

PDA surrogate estimation

ODACAT.initialize

ODACAT initialize

ODACH_CC.derive

Generate pda derivatives

ODACATH.estimate

PDA surrogate estimation

ODACAT.synthesize

PDA synthesize surrogate estimates from all sites, optional

ODAP derivatives

ODACH_CC.initialize

ODACH_CC initialize

ODAPB.initialize

ODAPB initialize

ODAPB derivatives

PDA surrogate estimation

PDA surrogate estimation

ODACAT simulated data with ordinal outcome

ODAH.initialize

ODAH initialize

PDA surrogate estimation

ODACATH derivatives

ODAL.initialize

ODAL initialize

PDA ODACT surrogate estimation

ODACT.synthesize

PDA synthesize surrogate estimates from all sites, optional

ODACAT simulated data with nominal outcome

ODACH_CC.estimate

PDA surrogate estimation

ODACT.initialize

ODACT initialize

ODAP.initialize

ODAP initialize

Generate pda ODACT derivatives

PDA surrogate estimation

ODACH_CC.synthesize

PDA synthesize surrogate estimates from all sites, optional

ODAL.synthesize

PDA synthesize surrogate estimates from all sites, optional

ODAH derivatives

ODAL derivatives

gather cloud settings into a list

use this function to guide end-users step-by-step to identify best pda models for their tasks, and set up control.

PDA: Privacy-preserving Distributed Algorithm

Lung cancer survival time data

COVID-19 LOS and mortality data

Construct binary covariate pattern matrix

dGEM standardized event rate estimation

DisC2o simulated data

dGEM hospital-specific effect derivation

Pooled estimation for COLA-GLM and COLA-GLM-H

generate_CSU_site

One-shot site summaries for COLA-GLMM

Function to download json and return as object

pda control synchronize

run_pooled_analysis

Function to perform all data processing and pooled stratified analysis

Function to upload object to cloud as json

dGEM.initialize

dGEM initialize

ODACH_CC simulated data

A flexible version of MASS::glmmPQL

nominal_data_hetero

ODACATH simulated data with nominal outcome

Function to list available objects

dGEM.synthesize

PDA dGEM synthesize

CrabSatellites data

ODACATH simulated data with ordinal outcome

ADAP surrogate estimation

DisC2o.OMestimate

DisC2o outcome model surrogate estimation

PDA COLA estimation

DisC2o.PSderive

DisC2o_PS derivatives

DPQL.initialize

DPQL initialize

DisC2o.PSinitialize

DisC2o PS initialize

ADAP.initialize

ADAP initialize

DisC2o.AIPWestimate

DisC2o AIPW estimate of the ATE at each site

PDA DPQL estimation

DisC2o.OMinitialize

DisC2o_OM initialize

ADAP derivatives

DisC2o.OMderive

DisC2o_OM derivatives

DisC2o.synthesize

DisC2o AIPW estimate of the ATE, synthesizing all sites

PDA DLM estimation

COLA.initialize

COLA initialize

ADAP simulated data

COLA simulated data

DisC2o.PSestimate

PDA surrogate estimation