# Privacy-Preserving Distributed Algorithms

## 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