pdaCatalog: use this function to guide end-users step-by-step to identify...

In pda: Privacy-Preserving Distributed Algorithms

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

Description

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

Usage

pdaCatalog(task=c('Regression', 'Survival', 'Trial_emulation', 
'Causal_inference', 'Design_analysis', 'Clustering'), 
write_json_file_path=getwd(), optim_maxit,optim_method,init_method)

Arguments

task	user-specified task, c('Regression', 'Survival', 'Trial_emulation', 'Causal_inference', 'Design_analysis', 'Clustering'). If no specify, display all models
write_json_file_path	directory path to write the control file to
optim_maxit	option in the control file for the optimization in pda, default 100
optim_method	option in the control file for the optimization in pda, default "BFGS"
init_method	option in the control file for calculating the initial estimate in pda, default "meta"

Value

pda control

See Also

pda

pda documentation built on Nov. 18, 2025, 1:07 a.m.