gimme: Group Iterative Multiple Model Estimation

Data-driven approach for arriving at person-specific time series models. 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. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.

Version: 0.7-7
Depends: R (≥ 3.5.0)
Imports: lavaan (≥ 0.6-9), igraph (≥ 1.0-0), qgraph, data.tree, MIIVsem (≥ 0.5.4), imputeTS (≥ 3.0), nloptr, graphics, stats
Suggests: knitr, rmarkdown
Published: 2021-10-18
Author: Stephanie Lane [aut, trl], Kathleen Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], Adriene Beltz [csp], Aidan Wright [csp], Jonathan Park [ctb], Sebastian Castro Alvarez [ctb]
Maintainer: Kathleen M Gates <gateskm at email.unc.edu>
BugReports: https://github.com/GatesLab/gimme/issues
License: GPL-2
URL: https://github.com/GatesLab/gimme/
NeedsCompilation: no
In views: Psychometrics
CRAN checks: gimme results

Documentation:

Reference manual: gimme.pdf
Vignettes: GIMME

Downloads:

Package source: gimme_0.7-7.tar.gz
Windows binaries: r-devel: gimme_0.7-7.zip, r-release: gimme_0.7-6.zip, r-oldrel: gimme_0.7-7.zip
macOS binaries: r-release (arm64): gimme_0.7-6.tgz, r-release (x86_64): gimme_0.7-7.tgz, r-oldrel: gimme_0.7-7.tgz
Old sources: gimme archive

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