networkCovParallel: Calculates the covariance network

In glmSparseNet: Network Centrality Metrics for Elastic-Net Regularized Models

Description

Calculates the covariance network

Usage

networkCovParallel(
  xdata,
  build.output = "matrix",
  n.cores = 1,
  force.recalc.network = FALSE,
  show.message = FALSE,
  ...
)

Arguments

xdata	base data to calculate network
build.output	if output returns a 'matrix', 'vector' of the upper triu without the diagonal or NULL with any other argument
n.cores	number of cores to be used
force.recalc.network	force recalculation, instead of going to cache
show.message	shows cache operation messages
...	extra parameters for fun

Value

depends on build.output parameter

Examples

n.col <- 6
xdata <- matrix(rnorm(n.col * 4), ncol = n.col)
networkCovParallel(xdata)

glmSparseNet documentation built on April 14, 2021, 6 p.m.