Give a numeric vector containing non-redundant parameters of a MixAR model in a form suitable for use by optimisation routines. The methods defined in package mixAR for this generic function are described here.
lik_params(model)A numeric vector containing all parameters except the probability associated with the last component.
a MixAR model.
Georgi N. Boshnakov
signature(model = "MixAR")
signature(model = "MixARgen")
lik_params gives the parameters of a MixAR model as a numeric
vector.
This is a generic function. Parameters common to all MixAR models are arranged as described below. There are no other parameters when the error distributions do not contain parameters of their own. Methods for sub-classes with additional parameters should append them after the common parameters.
If \(k\) is the number of components and \(\pi_i\) is the probability associated with the \(i\)th component, then the parameters are put in a vector as follows:
component probabilities, \(\pi_1,\ldots,\pi_{k-1}\), (note: \(\pi_{k}\) is not included)
scales, \(\sigma_1,\ldots,\sigma_{k}\),
shifts, \(\mu_1,\ldots,\mu_{k}\),
AR coefficients of the 1st component,
AR coefficients of the 2nd component,
...
AR coefficients of the \(k\)th component.