Akaike Information Criterion for Langevin movement model under Euler discretization

Akaike Information Criterion for Langevin movement model under Euler discretization

AICEuler(beta, gamma2 = 1, locs, times, ID = NULL, grad_list)

Arguments

beta

Parameters of the utilisation distribution
gamma2

Diffusion parameter
locs

Matrix of observed locations (two columns: x, y)
times

Vector of times of observations
ID

Vector of track identifiers, must be of length n
grad_list

List of gradients of covariates, evaluated at the locations of the observations, must be 3d array of dim(n, 2, J) where J is the amount of covariates .

Value

the approximated AIC using Euler discretization scheme