simSSF: Simulate from SSF
In TheoMichelot/localGibbs: Local Gibbs Movement Model
simSSF R Documentation
Simulate from SSF
Description
Simulate from SSF
Usage
simSSF(nbObs, beta, xy1, xy2, nzeros, covlist, stepPar, anglePar)
Arguments
nbObs
Number of observation
beta
Vector of coefficients of the SSF
xy1
First location
xy2
Second location
nzeros
Number of zeros to sample for each step
covlist
List of covariate rasters
stepPar
Shape and rate of gamma distribution
anglePar
Mean and concentration of von Mises distribution
TheoMichelot/localGibbs documentation built on March 24, 2022, 5:56 a.m.
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| simSSF | R Documentation |
Simulate from SSF
Description
Simulate from SSF
Usage
simSSF(nbObs, beta, xy1, xy2, nzeros, covlist, stepPar, anglePar)
Arguments
nbObs |
Number of observation |
beta |
Vector of coefficients of the SSF |
xy1 |
First location |
xy2 |
Second location |
nzeros |
Number of zeros to sample for each step |
covlist |
List of covariate rasters |
stepPar |
Shape and rate of gamma distribution |
anglePar |
Mean and concentration of von Mises distribution |
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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