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GIMMEgVAR  

Group Iterative Multiple Model Estimation with 'graphicalVAR'
View on CRAN: Click here


Download and install GIMMEgVAR package within the R console
Install from CRAN:
install.packages("GIMMEgVAR")

Install from Github:
library("remotes")
install_github("cran/GIMMEgVAR")

Install by package version:
library("remotes")
install_version("GIMMEgVAR", "0.1.0")



Attach the package and use:
library("GIMMEgVAR")
Maintained by
Sandra Williams Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-16
Latest Update: 2024-05-16
Description:
Data-driven approach for arriving at person-specific time series models from within a Graphical Vector Autoregression (VAR) framework. 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. All estimates are obtained uniquely for each individual in the final models. The method for the 'graphicalVAR' approach is found in Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.
How to cite:
Sandra Williams Lee (2024). GIMMEgVAR: Group Iterative Multiple Model Estimation with 'graphicalVAR'. R package version 0.1.0, https://cran.r-project.org/web/packages/GIMMEgVAR. Accessed 23 Nov. 2024.
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