R: Fitting, Comparing, and Visualizing Networks Based on Time Series Data

# Fitting, Comparing, and Visualizing Networks Based on Time Series Data

## Documentation for package ‘tsnet’ version 0.2.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

tsnet-package | The 'tsnet' package
check_eigen | Check Eigenvalues of Bayesian GVAR object
compare_gvar | Compare two Bayesian GVAR models
fit_data | Example Posterior Samples
get_centrality | Compute Centrality Measures
plot.compare_gvar | Plot compare_gvar
plot_centrality | Plot Centrality Measures
posterior_plot | posterior_plot
post_distance_within | Calculates distances between pairs of posterior samples using the posterior samples or posterior predictive draws
print.compare_gvar | Print method for compare_gvar objects
print.tsnet_fit | Print method for tsnet_fit objects
stan_fit_convert | Convert Stan Fit to Array of Samples
stan_gvar | Fit Bayesian Graphical Vector Autoregressive (GVAR) Models with Stan
tsnet | The 'tsnet' package
ts_data | Simulated Time Series Dataset