move.HMM.mllk: Compute negative log likelihood of HMM

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

Description

This function, modified from Langrock et al. (2012), computes the negative log likelihood of the hidden Markov model.

Usage

  move.HMM.mllk(parvect, obs, PDFs, skeleton,
    inv.transforms, 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
inv.transforms	A list of inverse transformations used to transform parvect back to the original scale
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.