Privacy-Preserving Distributed Algorithms

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Documentation for package ‘pda’ version 1.3.0

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

ADAP_data	ADAP simulated data
COLA_covid	COLA simulated data
covid	COVID-19 LOS and mortality data
cs	CrabSatellites data
getCloudConfig	gather cloud settings into a list
LATTE_ADRD	LATTE simulated data
long_covid	DisC2o simulated data
LOS	Length of Stay data
lung2	Lung cancer survival time data
nominal_data_hetero	ODACATH simulated data with nominal outcome
ODACAT_nominal	ODACAT simulated data with nominal outcome
ODACAT_ordinal	ODACAT simulated data with ordinal outcome
odach_cc	ODACH_CC simulated data
ordinal_data	ODACATH simulated data with ordinal outcome
pda	PDA: Privacy-preserving Distributed Algorithm
pdaCatalog	use this function to guide end-users step-by-step to identify best pda models for their tasks, and set up control.
pdaGet	Function to download json and return as object
pdaList	Function to list available objects
pdaPut	Function to upload object to cloud as json
pdaSync	pda control synchronize
run_pooled_analysis	Function to perform all data processing and pooled stratified analysis