NetworkToolbox: neuralnetfilter – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

neuralnetfilter

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 `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 <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)

NetworkToolbox

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

v1.4.1

GPL (>= 3.0)

Authors

Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)

Initial release

2020-12-07