single.boot: Calculating differential score for a single bootstrap

In iDINGO: Integrative Differential Network Analysis in Genomics

Description

This function calculates the edge-wise partial correlation difference for a single bootstrap.

Usage

single.boot(i, z, n, tY.org, P, levels.z, w.upper)

Arguments

i	iteration number. This is not used within this function, but necessary for parSapply within scoring.boot.parallel function.
z	a length n vector representing a binary covariate
n	the number of rows in data
tY.org	the transformed standardized data
P	the global correlation component
levels.z	the levels of the covariates
w.upper	the upper triangular of Omega

Value

boot.diff

the difference for this bootstrap

Author(s)

Min Jin HA [e-mail], Caleb CLASS [e-mail]

iDINGO documentation built on July 30, 2020, 5:14 p.m.