neuralnetfilter: Neural Network Filter

In NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

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 convertConnBrainMat function
method	Filtering method to be applied
progBar	Should progress bar be displayed? Defaults to TRUE. Set FALSE for no progress bar
...	Additional arguments from network filtering methods

Value

Returns an array of n x n x m filtered matrices

Author(s)

Alexander Christensen <[e-mail]>

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)

NetworkToolbox documentation built on May 28, 2021, 5:11 p.m.