score_matrix

This function adjusts an original matrix by copying the lower triangular part from a shifted matrix.

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

score_matrix function

<dl><dt>original_matrix</dt>
<dd>A numeric matrix representing the original data.</dd>
<dt>shifted_matrix</dt>
<dd>A numeric matrix that has been transformed using <code>shift_matrix()</code>.</dd></dl>

Arguments

Compute Score Matrix — score_matrix

<dl>

<dt>original_matrix</dt>
<dd>A numeric matrix representing the original data.</dd>


<dt>shifted_matrix</dt>
<dd>A numeric matrix that has been transformed using <code>shift_matrix()</code>.</dd>

</dl>

score_matrix: Compute Score Matrix

Description

Usage

Value

Arguments