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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>.
Package details |
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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@email.unc.edu> |
License | GPL-2 |
Version | 0.7-18 |
URL | https://github.com/GatesLab/gimme/ https://tarheels.live/gimme/tutorials/ |
Package repository | View on CRAN |
Installation |
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