MariNET: Build Network Based on Linear Mixed Models from EHRs

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>.

Version:	1.0.0
Depends:	R (≥ 3.5)
Imports:	dplyr, lme4, qgraph
Suggests:	knitr, rmarkdown, BiocStyle
Published:	2025-03-21
DOI:	10.32614/CRAN.package.MariNET
Author:	Vargas-Fernández Marina [aut, cre], Martorell-Marugán Jordi [aut], Carmona-Sáez Pedro [aut]
Maintainer:	Vargas-Fernández Marina <marina.vargas at genyo.es>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	MariNET results

Documentation:

Reference manual:	MariNET.pdf
Vignettes:	MariNET - A Novel Framework for Inferring Dynamic Network Relationships from Longitudinal EHRs Using Linear Mixed Models (source, R code)

Downloads:

Package source:	MariNET_1.0.0.tar.gz
Windows binaries:	r-devel: MariNET_1.0.0.zip, r-release: MariNET_1.0.0.zip, r-oldrel: not available
macOS binaries:	r-devel (arm64): MariNET_1.0.0.tgz, r-release (arm64): MariNET_1.0.0.tgz, r-oldrel (arm64): MariNET_1.0.0.tgz, r-devel (x86_64): MariNET_1.0.0.tgz, r-release (x86_64): MariNET_1.0.0.tgz, r-oldrel (x86_64): MariNET_1.0.0.tgz

Linking:

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