View source: R/simLangevinMM.R
simLangevinMM | R Documentation |
This function is based on the Euler approximation.
simLangevinMM(
beta,
gamma2 = 1,
times,
loc0,
cov_list = NULL,
grad_fun = NULL,
silent = F,
keep_grad = F,
b_box = NULL,
debug = 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? |
keep_grad |
should gradient values at simulated points be kept? This avoids to compute gradient later on xgrid and ygrid, of dimensions (length(xgrid),length(ygrid),length(beta)). |
b_box |
a 2x2 matrix with the minimum value on the first line for x and y and the maximum value on the second line |
debug |
in debug mode, gradient values are kept in grad.csv file stored in the working directory |
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