Installation
About
Fit, compare, and visualize Bayesian graphical vector autoregressive (GVAR) network models using 'Stan'. These models are commonly used in psychology to represent temporal and contemporaneous relationships between multiple variables in intensive longitudinal data. Fitted models can be compared with a test based on matrix norm differences of posterior point estimates to quantify the differences between two estimated networks. See also Siepe, Kloft & Heck (2024) doi:10.31234/osf.io/uwfjc.
github.com/bsiepe/tsnet | |
System requirements | GNU make |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 11 0% |
Last 7 days | 57 -14% |
Last 30 days | 187 -20% |
Last 90 days | 490 |
Last 365 days | 490 |
Depends
R | ≥ 3.4.0 |