fgibbs.logistic: Fit exp-Gibbs processes to data using Logistic likelihood...
In antiphon/rstrauss: Simulates Strauss point process, in 2D and 3D
fgibbs.logistic R Documentation
Fit exp-Gibbs processes to data using Logistic likelihood method
Description
models: "strauss", "areainteraction"
Usage
fgibbs.logistic(x, par, model, rho, ...)
Arguments
x
a list with elements $x:data.frame of locations
(ncol 2 or 3), $bbox: matrix with columns giving window
bounds
par
fixed parameters.
model
which model to use
rho
density of Poisson dummies
antiphon/rstrauss documentation built on June 2, 2022, 7:19 a.m.
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| fgibbs.logistic | R Documentation |
Fit exp-Gibbs processes to data using Logistic likelihood method
Description
models: "strauss", "areainteraction"
Usage
fgibbs.logistic(x, par, model, rho, ...)
Arguments
x |
a list with elements $x:data.frame of locations (ncol 2 or 3), $bbox: matrix with columns giving window bounds |
par |
fixed parameters. |
model |
which model to use |
rho |
density of Poisson dummies |
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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