GIMMEgVAR: Group Iterative Multiple Model Estimation with 'graphicalVAR'

Data-driven approach for arriving at person-specific time series models from within a Graphical Vector Autoregression (VAR) framework. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. All estimates are obtained uniquely for each individual in the final models. The method for the 'graphicalVAR' approach is found in Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: graphicalVAR, here, qgraph, png
Suggests: knitr, rmarkdown
Published: 2024-05-16
DOI: 10.32614/CRAN.package.GIMMEgVAR
Author: Sandra Williams Lee [aut, cre], Kathleen M. Gates [aut]
Maintainer: Sandra Williams Lee <wsandra at>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: GIMMEgVAR results


Reference manual: GIMMEgVAR.pdf
Vignettes: GIMMEgVAR Vignette


Package source: GIMMEgVAR_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GIMMEgVAR_0.1.0.tgz, r-oldrel (arm64): GIMMEgVAR_0.1.0.tgz, r-release (x86_64): GIMMEgVAR_0.1.0.tgz, r-oldrel (x86_64): GIMMEgVAR_0.1.0.tgz


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