Computes foward log-probabilities for an autoregressive HMM.
Adapted from moveHMM.
Attention: Only works for 2-dim with 1st variable gamma distributed step lengths
and 2nd variable von Mises distributed turning angles!
Usage
logAlpha(mod, data, N, p)
Arguments
- mod
Fitted autoregressive HMM object.
- data
Data the model is fitted on.
- N
Number of states.
- p
Vector of degree of autoregression for each distribution
(one value for each state) (0 = no autoregression).
Value
Matrix of forward log-probabilities.