normalization

This function normalizes weighted adjacency matrix derived from lmm.

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

normalization function

<dl><dt>matrix</dt>
<dd>The adjacency matrix (to be normalized).</dd></dl>

Arguments

Normalization of weighted linear mixed model network matrix. — normalization

<dl>

<dt>matrix</dt>
<dd>The adjacency matrix (to be normalized).</dd>

</dl>

normalization: Normalization of weighted linear mixed model network matrix.

Description

Usage

Value

Arguments