psd_varma {beyondWhittle} | R Documentation |
VARMA(p,q) spectral density function
Description
Evaluate the VARMA(p,q) spectral density at some frequencies freq in [0,pi). Note that no test for model stationarity is performed.
Usage
psd_varma(
freq,
ar = matrix(nrow = nrow(Sigma), ncol = 0),
ma = matrix(nrow = nrow(Sigma), ncol = 0),
Sigma
)
Arguments
freq |
numeric vector of frequencies to evaluate the psd, 0 <= freq < pi |
ar |
autoregressive coeffient matrix (d times p*d) of VARMA model, defaults to empty VAR component |
ma |
moving average coeffient matrix (d times p*d) of VARMA model, defaults to empty VAR component |
Sigma |
positive definite innovation covariance matrix (d times d) |
Details
See section 11.5 in the referenced book
Value
an array containing the values of the varma psd matrix at freq
References
P. J. Brockwell and R. Davis (1996) Time Series: Theory and Methods (Second Edition)
[Package beyondWhittle version 1.2.1 Index]