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MariNET (version 1.0.0)

Build Network Based on Linear Mixed Models from EHRs

Description

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) .

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Version

Install

install.packages('MariNET')

Monthly Downloads

154

Version

1.0.0

License

GPL-3

Maintainer

Vargas-Fernández Marina

Last Published

March 21st, 2025

Functions in MariNET (1.0.0)

differentiation

Subtract Two Adjacency Matrices
example_data

Example Dataset: Psychological and Behavioral Responses
score_matrix

Compute Score Matrix
normalization

Normalization of weighted linear mixed model network matrix.
lmm_analysis

Perform Longitudinal Analysis with Linear Mixed Models (LMM)
shift_matrix

Shifted Matrix Transformation