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) .


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install.packages("gimme")

0.7-7 by Kathleen M Gates, 3 months ago


https://github.com/GatesLab/gimme/


Report a bug at https://github.com/GatesLab/gimme/issues


Browse source code at https://github.com/cran/gimme


Authors: 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]


Documentation:   PDF Manual  


Task views: Psychometric Models and Methods


GPL-2 license


Imports lavaan, igraph, qgraph, data.tree, MIIVsem, imputeTS, nloptr, graphics, stats

Suggests knitr, rmarkdown


See at CRAN