simuVARX {MSTest} | R Documentation |
Simulate VAR process
Description
This function simulates a vector autoregresive process.
Usage
simuVARX(mdl_h0, burnin = 100)
Arguments
mdl_h0 |
List containing the following DGP parameters
n: Length of series.
mu: A (q x 1 ) vector of means.
sigma: A (q x q ) covariance matrix.
phi: A (q x (q x p) ) matrix of autoregressive coefficients.
p: Number of autoregressive lags.
q: Number of series.
eps: An optional (T+burnin x q ) matrix with standard normal errors to be used. Errors will be generated if not provided.
Z: A (T x qz ) matrix with exogenous regressors (Optional) and where qz is the number of exogenous variables.
betaZ: A (qz x q ) matrix true coefficients on exogenous regressors (Optional) and where qz is the number of exogenous variables.
|
burnin |
Number of simulated observations to remove from beginning. Default is 100 .
|
Value
List with simulated vector autoregressive series and its DGP parameters.
[Package
MSTest version 0.1.5
Index]