NetworkToolbox (version 0.0.1.0)

ECO: ECO Neural Network Filter

Description

Applies the ECO neural network filtering method

Usage

ECO(data, weighted = TRUE, binary = FALSE, directed = FALSE)

Arguments

data

Can be a dataset or a correlation matrix

weighted

Should network be weighted? Defaults to TRUE. Set FALSE to produce an unweighted (binary) network

binary

Is dataset dichotomous? Defaults to FALSE. Set TRUE if dataset is dichotomous (tetrachoric correlations are computed)

directed

Is the network directed? Defaults to FALSE. Set TRUE if the network is directed

Value

A sparse association matrix

References

Fallani, F. D. V., Latora, V., & Chavez, M. (2017). A topological criterion for filtering information in complex brain networks. PLoS Computational Biology, 13(1), e1005305.

Examples

# NOT RUN {
weighted_undirected_ECOnetwork<-ECO(data)

unweighted_undirected_ECOnetwork<-ECO(data,weighted=FALSE)

weighted_directed_ECOnetwork<-ECO(data,directed=TRUE)

unweighted_directed_ECOnetwork<-ECO(data,weighted=FALSE,directed=TRUE)

weighted_undirected_binary_ECOnetwork<-ECO(data,binary=TRUE)

unweighted_undirected_binary_ECOnetwork<-ECO(data,weighted=FALSE,binary=TRUE)

weighted_directed_binary_ECOnetwork<-ECO(data,directed=TRUE,binary=TRUE)

unweighted_directed_binary_ECOnetwork<-ECO(data,weighted=FALSE,directed=TRUE,binary=TRUE)
# }