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:	0.7-16
Depends:	R (≥ 3.5.0)
Imports:	lavaan (≥ 0.6-17), igraph (≥ 1.0-0), qgraph, data.tree, MIIVsem (≥ 0.5.4), imputeTS (≥ 3.0), nloptr, graphics, stats, MASS, tseries
Suggests:	knitr, rmarkdown
Published:	2024-01-31
Author:	Stephanie Lane [aut, trl], Kathleen Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Edgar Merkle [ctb], 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/, https://tarheels.live/gimme/tutorials/
NeedsCompilation:	no
In views:	Psychometrics
CRAN checks:	gimme results

Documentation:

Reference manual:	gimme.pdf
Vignettes:	GIMME

Downloads:

Package source:	gimme_0.7-16.tar.gz
Windows binaries:	r-devel: gimme_0.7-16.zip, r-release: gimme_0.7-16.zip, r-oldrel: gimme_0.7-16.zip
macOS binaries:	r-release (arm64): gimme_0.7-16.tgz, r-oldrel (arm64): gimme_0.7-16.tgz, r-release (x86_64): gimme_0.7-16.tgz, r-oldrel (x86_64): gimme_0.7-16.tgz
Old sources:	gimme archive

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