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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: | 0.7-18 |
| 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: | 2024-06-21 |
| DOI: | 10.32614/CRAN.package.gimme |
| 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 |
| Reference manual: | gimme.pdf |
| Vignettes: |
GIMME |
| Package source: | gimme_0.7-18.tar.gz |
| Windows binaries: | r-devel: gimme_0.7-18.zip, r-release: gimme_0.7-18.zip, r-oldrel: gimme_0.7-18.zip |
| macOS binaries: | r-release (arm64): gimme_0.7-18.tgz, r-oldrel (arm64): gimme_0.7-18.tgz, r-release (x86_64): gimme_0.7-18.tgz, r-oldrel (x86_64): gimme_0.7-18.tgz |
| Old sources: | gimme archive |
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