GIMMEgVAR
Group Iterative Multiple Model Estimation with 'graphicalVAR'
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling source/ R- | GIMMEgVAR_0.1.0.tar.gz |
198.6 KiB |
0.1.0 |
rolling linux/jammy R-4.5 | GIMMEgVAR_0.1.0.tar.gz |
218.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | GIMMEgVAR_0.1.0.tar.gz |
218.5 KiB |
0.1.0 |
latest source/ R- | GIMMEgVAR_0.1.0.tar.gz |
198.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | GIMMEgVAR_0.1.0.tar.gz |
218.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | GIMMEgVAR_0.1.0.tar.gz |
218.5 KiB |
0.1.0 |
2026-04-23 source/ R- | GIMMEgVAR_0.1.0.tar.gz |
198.6 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | GIMMEgVAR_0.1.0.zip |
219.2 KiB |
0.1.0 |
2025-04-20 source/ R- | GIMMEgVAR_0.1.0.tar.gz |
198.6 KiB |