rsfvec: Resource selection function (vectorized for xy)
In TheoMichelot/localGibbs: Local Gibbs Movement Model
rsfvec R Documentation
Resource selection function (vectorized for xy)
Description
Resource selection function (vectorized for xy)
Usage
rsfvec(xy, beta, cov, lim, res)
Arguments
xy
Matrix of points where the RSF should be evaluated
beta
Vector of resource selection coefficients
cov
Array of covariates (one layer for each covariate)
lim
Four values: x min, x max, y min, y max
res
Two values: resolution in x, and resolution in y
TheoMichelot/localGibbs documentation built on March 24, 2022, 5:56 a.m.
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| rsfvec | R Documentation |
Resource selection function (vectorized for xy)
Description
Resource selection function (vectorized for xy)
Usage
rsfvec(xy, beta, cov, lim, res)
Arguments
xy |
Matrix of points where the RSF should be evaluated |
beta |
Vector of resource selection coefficients |
cov |
Array of covariates (one layer for each covariate) |
lim |
Four values: x min, x max, y min, y max |
res |
Two values: resolution in x, and resolution in y |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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