Contents

detarma()

Usage:

detarma(phi, theta, n [,masign:Masign] [,arsign:Arsign] [,nfreq:Nfreq]),
  non-MISSING REAL vectors phi and theta, positive integer vector n,
  Masign and Arsign +1 or -1, positive integer scalar Nfreq

Keywords: arima models

                              Introduction
Help is not complete but is taken from the comments associated with
detarma().

detarma() computes the determinant of the Toeplitz covariance associated
with ARMA process.  At present it has no provision for seasonal
processes.

                                  Usage
 detarma(phi, theta, n [,masign:Masign] [,arsign:Arsign] [,nfreq:Nfreq])
  phi      non-MISSING REAL vector defining a causal AR operator
  theta    non-MISSING REAL vector defining a MA operator
  n        vector of positive integers
  Masign and/or Arsign must be +1 or -1; they determine sign conventions
           for interpreting phi and theta.  Type arimahelp(MASIGN)
           for information.
  Nfreq    Number of frequencies used in DFT to compute ACFV.  Default
           is the smallest integer >= 2*max(max(n), 200) that has no
           prime factors > 29

                             Value returned
The result is a REAL vector d, the same length as n, with d[i] =
det(Sigma(n[i])), where Sigma(n[i]) = Cov[(X(1),...,X(n[i]))] when X(t)
is ARMA with AR coefficients phi and MA coefficients theta

detarma() computes the autocovariance function as the inverse Fourier
transform of the spectrum computed at nfreq frequencies.  From this it
computes that partial autocorrelations which are used, together with the
variance to compute the determinant.