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: | 0.9.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | lavaan (≥ 0.6-17),igraph (≥ 1.0-0),qgraph (≥ 1.9.8),data.tree,MIIVsem (≥ 0.5.4),imputeTS (≥ 3.0),nloptr, graphics, stats,MASS,tseries, utils |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-11-13 |
| DOI: | 10.32614/CRAN.package.gimme |
| Author: | Stephanie Lane [aut, trl], Kathleen M 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], Björn Siepe [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 |
| Materials: | README |
| In views: | Psychometrics |
| CRAN checks: | gimme results |
| Reference manual: | gimme.html ,gimme.pdf |
| Vignettes: | GIMME (source,R code) |
| Package source: | gimme_0.9.3.tar.gz |
| Windows binaries: | r-devel:gimme_0.9.3.zip, r-release:gimme_0.9.3.zip, r-oldrel:gimme_0.9.3.zip |
| macOS binaries: | r-release (arm64):gimme_0.9.3.tgz, r-oldrel (arm64):gimme_0.9.3.tgz, r-release (x86_64):gimme_0.9.3.tgz, r-oldrel (x86_64):gimme_0.9.3.tgz |
| Old sources: | gimme archive |
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