Package: GIMMEgVAR
Type: Package
Title: Group Iterative Multiple Model Estimation with 'graphicalVAR'
Version: 0.1.0
Authors@R: c(person("Sandra Williams","Lee", email = "wsandra@live.unc.edu", role = c("aut","cre")), person("Kathleen M.","Gates", role = "aut"))
Imports: graphicalVAR, here, qgraph, png
Description: 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>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: no
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-10-06 11:21:42 UTC; root
Author: Sandra Williams Lee [aut, cre], Kathleen M. Gates [aut]
Maintainer: Sandra Williams Lee <wsandra@live.unc.edu>
Depends: R (>= 3.5.0)
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev
Repository: https://williamsandra.r-universe.dev
Date/Publication: 2024-05-17 02:37:03 UTC
RemoteUrl: https://github.com/cran/GIMMEgVAR
RemoteRef: HEAD
RemoteSha: 873d462ad117b297cf1b8fe3d5413fb26e773940