GenerateDistResNet: Generate a distributed research network.

In kaz-yos/distributed: Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network

Description

Generate a distributed research network of K sites.

Usage

GenerateDistResNet(lstN, lstAssignCovariates, lstAlphas, lstBetas,
  lstSurvParams)

Arguments

lstN	list of sizes of centers. Number of centers (K) is also determined by its length.
lstAssignCovariates	list of covariate generation functions that takes n and p as the only arguments.
lstAlphas	list of alpha vectors potentially varying among centers. See GenerateOneCenter for construction of an alpha vector.
lstBetas	list of beta vectors potentially varying among centers. See GenerateOneCenter for construction of a beta vector.
lstSurvParams	list of survival outcome parameters potentially varying among centers.

Value

list of K data frames, each of which contains a complete dataset from a single data center

Author(s)

Kazuki Yoshida

kaz-yos/distributed documentation built on May 27, 2019, 4:50 a.m.