Introduction to MariNET | Installation | Loading Data | Linear Mixed effects Model network | Network visualization | Comparison between models | Additional information | References
Package: MariNET 1.0.0
Vargas-Fernández Marina
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>.
Authors:
MariNET_1.0.0.tar.gz
MariNET_1.0.0.tar.gz(r-4.7-any)MariNET_1.0.0.tar.gz(r-4.6-any)
MariNET_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MariNET/json (API)
| # Install 'MariNET' in R: |
| install.packages('MariNET', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- example_data - Example Dataset: Psychological and Behavioral Responses
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1b7b83b32a. Checks:4 OK. Indexed: yes.
A new build is currently in progress.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 182 | ||
| source / vignettes | OK | 211 | ||
| linux-release-x86_64 | OK | 172 | ||
| wasm-release | OK | 163 |
Exports:differentiationlmm_analysisnormalizationscore_matrixshift_matrix
Dependencies:abindbackportsbase64encbootbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4magrittrMASSMatrixmemoisemimeminqamnormtnlmenloptrnnetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasreshape2rlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Subtract Two Adjacency Matrices | differentiation |
| Example Dataset: Psychological and Behavioral Responses | example_data |
| Perform Longitudinal Analysis with Linear Mixed Models (LMM) | lmm_analysis |
| Normalization of weighted linear mixed model network matrix. | normalization |
| Compute Score Matrix | score_matrix |
| Shifted Matrix Transformation | shift_matrix |