neuralnetfilter {NetworkToolbox} | R Documentation |
Neural Network Filter
Description
Applies a network filtering methodology to neural network array.
Removes edges from the neural network output from convertConnBrainMat
using a network filtering approach
Usage
neuralnetfilter(
neuralarray,
method = c("TMFG", "MaST", "ECOplusMaST", "ECO", "threshold"),
progBar = TRUE,
...
)
Arguments
neuralarray |
Array from |
method |
Filtering method to be applied |
progBar |
Should progress bar be displayed?
Defaults to |
... |
Additional arguments from network filtering methods |
Value
Returns an array of n x n x m filtered matrices
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
Examples
## Not run: neuralarray <- convertConnBrainMat()
filteredneuralarray <- neuralnetfilter(neuralarray, method = "threshold", thresh = .50)
dependencyarray <- depna(neuralarray)
filtereddependencyarray <- neuralnetfilter(dependencyarray, method = "TMFG", depend = TRUE)
## End(Not run)
[Package NetworkToolbox version 1.4.2 Index]