sim_mvt: Generate Multivariate t Random Vector

In bvhar: Bayesian Vector Heterogeneous Autoregressive Modeling

Generate Multivariate t Random Vector

Description

This function samples n x multi-dimensional t-random matrix.

Usage

sim_mvt(num_sim, df, mu, sig, method = c("eigen", "chol"))

Arguments

num_sim	Number to generate process.
df	Degrees of freedom.
mu	Location vector
sig	Scale matrix.
method	Method to compute \Sigma^{1/2}. Choose between eigen (spectral decomposition) and chol (cholesky decomposition). By default, eigen.

Value

T x k matrix

bvhar documentation built on June 25, 2025, 9:07 a.m.