.networkGenericParallel {glmSparseNet} | R Documentation

## Calculate the upper triu of the matrix

### Description

Calculate the upper triu of the matrix

### Usage

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

### Arguments

`fun` | function that will calculate the edge weight between 2 nodes
`fun.prefix` | used to store low-level information on network as it can become to large to be stored in memory
`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

[Package glmSparseNet version 1.4.0 Index]