tsnet (version 0.1.0)

check_eigen: Check Eigenvalues of Bayesian GVAR object

Description

This function checks the eigenvalues of the Beta matrix (containing the temporal coefficients) to assure that the model is stationary. It uses the same check as the `graphicalVAR` package. The function calculates the eigenvalues of the Beta matrix and checks if the sum of the squares of the real and imaginary parts of the eigenvalues is less than 1. If it is, the VAR model is considered stable.

Usage

check_eigen(fitobj, verbose = TRUE)

Value

A list containing the eigenvalues and a verbal summary of the results.

Arguments

fitobj

A fitted Bayesian GVAR object. This can be a tsnet_fit object (obtained from [stan_gvar()]), a BGGM object (obtained from [BGGM::var_estimate()]), or extracted posterior samples (obtained from [stan_fit_convert()).

verbose

Logical. If TRUE, a verbal summary of the results is printed. Default is TRUE.

Examples

 data(fit_data)
 fitobj <- fit_data[[1]]
 result <- check_eigen(fitobj)