networkCovParallel {glmSparseNet} | R Documentation

## Calculates the covariance network

### 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)

[Package glmSparseNet version 1.8.1 Index]