Fitting, Comparing, and Visualizing Networks Based on Time Series Data
Check Eigenvalues of Bayesian GVAR object
Compare two Bayesian GVAR models
Compute Centrality Measures
Plot compare_gvar
Plot Centrality Measures
Calculates distances between pairs of posterior samples using the post...
posterior_plot
Print method for compare_gvar objects
Print method for tsnet_fit objects
Convert Stan Fit to Array of Samples
Fit Bayesian Graphical Vector Autoregressive (GVAR) Models with Stan
The 'tsnet' package
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>.