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This method provides a summary of the Bayesian GVAR model fitted with [stan_gvar()]. It prints general information about the model, including the estimation method and the number of chains and iterations It also prints the posterior mean of the temporal and contemporaneous coefficients.
# S3 method for tsnet_fit
print(x, ...)
Prints a summary to the console.
A tsnet_fit object.
Additional arguments passed to the print method (currently not used).
# \donttest{
# Load example data
data(ts_data)
example_data <- ts_data[1:100,1:3]
# Fit the model
fit <- stan_gvar(example_data,
method = "sampling",
cov_prior = "IW",
n_chains = 2)
print(fit)
# }
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