The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 live.unc.edu>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: GIMMEgVAR results

Documentation:

Reference manual: GIMMEgVAR.pdf
Vignettes: GIMMEgVAR Vignette

Downloads:

Package source: GIMMEgVAR_0.1.0.tar.gz
Windows binaries: r-devel: GIMMEgVAR_0.1.0.zip, r-release: GIMMEgVAR_0.1.0.zip, r-oldrel: GIMMEgVAR_0.1.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GIMMEgVAR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.