move.HMM.mllk.full: Compute negative log likelihood of HMM using all parameters

In benaug/move.HMM: Fit HMM and HSMM animal movement models

Description

This function computes the negative log likelihood of the hidden Markov model. using all parameters, untransformed. It is used to get the covariance matrix of the fitted model.

Usage

  move.HMM.mllk.full(parvect, obs, PDFs, skeleton, nstates,
    useRcpp = FALSE)

Arguments

parvect	The vector of parameters to be estimated
obs	A n x ndist matrix of data. If ndist=1, obs must be a n x 1 matrix.
PDFs	A list of PDFs for the ndist distributions.
skeleton	A list with the original parameter structure used to reassemble parvect
nstates	Number of hidden states
useRcpp	Logical indicating whether or not to use Rcpp.

Value

The negative log likelihood of the hidden markov model.

benaug/move.HMM documentation built on Jan. 23, 2022, 4:29 a.m.