bootThreshold: Threshold network based on bootstrapped intervals

In bootnet: Bootstrap Methods for Various Network Estimation Routines

Threshold network based on bootstrapped intervals

Description

This function takes the output of bootnet and returns a network as if it had been estimated using estimateNetwork, but with edges removed (set to zero) based on some significance level.

Usage

bootThreshold(bootobject, alpha = 0.05, verbose = TRUE, thresholdIntercepts = FALSE)

Arguments

bootobject	Nonparametric bootstrap results from bootnet
alpha	Significance level
verbose	Logical, should progress be reported to the console?
thresholdIntercepts	Logical, should intercepts also be thresholded?

Value

A bootnetResult object with the following elements:

graph	The weights matrix of the network
intercepts	The intercepts
results	The results of the estimation procedure
labels	A vector with node labels
nNodes	Number of nodes in the network
nPerson	Number of persons in the network
input	Input used, including the result of the default set used

Author(s)

Sacha Epskamp <[e-mail]>

See Also

bootnet, estimateNetwork

Examples

## Not run: 
# BFI Extraversion data from psychTools package:
library("psychTools")
data(bfi)
bfiSub <- bfi[,1:25]

# Estimate unregularized network:
Network <- estimateNetwork(bfiSub, default = "pcor", corMethod = "cor")

# Bootstrap 1000 values, using 8 cores:
boots <- bootnet(Network, nBoots = 1000, nCores = 8)

# Threshold network:
Network_thresholded <- bootThreshold(boots)

# Plot:
plot(Network_thresholded)

## End(Not run)

bootnet documentation built on May 29, 2024, 8:38 a.m.