differentiation

This function returns difference matrix between two networks.
It is useful for comparing two networks represented by adjacency matrices.

Analyzing longitudinal clinical data from Electronic Health Records (EHRs) using linear mixed models (LMM) and visualizing the results as networks. It includes functions for fitting LMM, normalizing adjacency matrices, and comparing networks. The package is designed for researchers in clinical and biomedical fields who need to model longitudinal data and explore relationships between variables For more details see Bates et al. (2015) <doi:10.18637/jss.v067.i01>.

Vargas-Fernández Marina

MariNET

Build Network Based on Linear Mixed Models from EHRs

Martorell-Marugán Jordi

Carmona-Sáez Pedro

differentiation function

<dl><dt>matrix1</dt>
<dd>The first adjacency matrix.</dd>
<dt>matrix2</dt>
<dd>The second adjacency matrix.</dd></dl>

Arguments

Subtract Two Adjacency Matrices — differentiation

<dl>

<dt>matrix1</dt>
<dd>The first adjacency matrix.</dd>


<dt>matrix2</dt>
<dd>The second adjacency matrix.</dd>

</dl>

differentiation: Subtract Two Adjacency Matrices

Description

Usage

Value

Arguments