An S3 object with called ts.model with the following structure:
process.desc
\(AR1\), \(MA1\), \(SIGMA2\)
theta
\(\phi\), \(\theta\), \(\sigma^2\)
plength
Number of Parameters: 3
print
String containing simplified model
obj.desc
Depth of Parameters e.g. list(c(1,1,1))
starting
Guess Starting values? TRUE or FALSE (e.g. specified value)
Arguments
phi
A double containing the parameter \(\phi _1\) (see Note for details).
theta
A double containing the parameter \(\theta _1\) (see Note for details).
sigma2
A double value for the parameter \(\sigma^2\) (see Note for details).
Author
James Balamuta
Details
A variance is required since the model generation statements utilize
randomization functions expecting a variance instead of a standard deviation like R.
# Creates an ARMA(1,1) process with predefined coefficients.ARMA11(phi = .23, theta = .1, sigma2 = 1)
# Creates an ARMA(1,1) process with values to be guessed on callibration.ARMA11()