Construct parameter object for autoregressive HMM likelihood evaluation

Construct a nice named list that contains all relevant parameters of an autoregressive HMM. This gets used in the log-likelihood computation to generalize to arbitrary distributions.

Usage

nice_params(Gamma, autocor, ...)

Arguments

Gamma: Full TPM.
autocor: Vector or matrix of autoregression parameters in suitable format.
...: List of other parameters, specified in "param" (e.g. mu, sigma, depending on distribution). Here, notational conventions have to be considered when supplying the distributional parameters

Value

Named list of all parameters