summary.NCT

This permutation based hypothesis test, suited for several types of data
supported by the estimateNetwork function of the bootnet package (Epskamp & Fried, 2018),
assesses the difference between two networks based on several invariance measures (network
structure invariance, global strength invariance, edge invariance, several centrality
measures, etc.). Network structures are estimated with l1-regularization. The Network
Comparison Test is suited for comparison of independent (e.g., two different groups) and
dependent samples (e.g., one group that is measured twice). See van Borkulo et al. (2021),
available from <doi:10.1037/met0000476>.

Don van den Bergh

NetworkComparisonTest

Statistical Comparison of Two Networks Based on Several
Invariance Measures

Claudia van Borkulo

Sacha Epskamp

Payton Jones

Jonas Haslbeck

Alex Millner

Karoline Huth

summary.NCT function

<dl><dt>object</dt>
<dd>output of NCT</dd>
<dt>...</dt>
<dd>for now ignored</dd></dl>

Arguments

Summary method for NCT — summary.NCT

<dl>

<dt>object</dt>
<dd>output of NCT</dd>


<dt>...</dt>
<dd>for now ignored</dd>

</dl>

Summary method for NCT

summary.NCT: Summary method for NCT

Description

Usage

Arguments