AICEuler | R Documentation |
Akaike Information Criterion for Langevin movement model under Euler discretization
AICEuler(beta, gamma2 = 1, locs, times, ID = NULL, grad_list)
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 . |
the approximated AIC using Euler discretization scheme
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