simMALA | R Documentation |
Simulate from Metropolis-adjusted Langevin algorithm
simMALA(
beta,
gamma2 = 1,
times,
loc0,
cov_list = NULL,
grad_fun = NULL,
silent = FALSE
)
beta |
Vector of resource selection coefficients |
gamma2 |
Scalar speed parameter |
times |
Vector of times of observations. Should have a small time step between each, such that the Euler scheme is valid |
loc0 |
Vector of coordinates (x,y) of initial location |
cov_list |
List of J (number of covariates) "raster like" elements. A raster like element is a 3 elements list with named elements 1) "x" a vector of increasing x locations (at which the covariate is sampled) 2) "y" a vector of increasing y locations (at which the covariate is sampled) 3) "z" a size(x)*size(y) matrix giving covariate values at location (x, y) |
grad_fun |
Optional list of functions taking a 2d vector and returning a two 2d vector for the gradient |
silent |
logical, should simulation advancement be shown? |
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