gradLogUD: Gradient of the log of the utilisation distribution

In papayoun/Rhabit: Estimation of animal habitat selection using the Langevin movement model

Gradient of the log of the utilisation distribution

Description

Gradient of the log of the utilisation distribution

Usage

gradLogUD(beta, loc, cov_list = NULL, grad_fun = NULL, check = T)

Arguments

beta	Vector of resource selection coefficients
loc	Point at which the gradient should be evaluated (2d vector)
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
check	logical check wether cov_list and grad_fun have the right format, default to TRUE

Value

Gradient of the log-UD in loc.

papayoun/Rhabit documentation built on July 19, 2023, 8:04 p.m.