bootnet (version 1.4.3)

bootThreshold: 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

%% ~Describe the value returned %% If it is a LIST, use %% \item{comp1 }{Description of 'comp1'} %% \item{comp2 }{Description of 'comp2'} %% ...

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)
# }