fstrauss.logistic: Fit Strauss process to data using Logistic likelihood method
In antiphon/rstrauss: Simulates Strauss point process, in 2D and 3D
fstrauss.logistic R Documentation
Fit Strauss process to data using Logistic likelihood method
Description
Fit Strauss process to data using Logistic likelihood method
Usage
fstrauss.logistic(x, R, rho, ...)
Arguments
x
a list with elements $x:data.frame of locations (ncol 2 or 3), $bbox: matrix with columns giving window bounds
R
the fixed known interaction range. Use profile pl to infer this.
rho
density of Poisson dummies
antiphon/rstrauss documentation built on June 2, 2022, 7:19 a.m.
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| fstrauss.logistic | R Documentation |
Fit Strauss process to data using Logistic likelihood method
Description
Fit Strauss process to data using Logistic likelihood method
Usage
fstrauss.logistic(x, R, rho, ...)
Arguments
x |
a list with elements $x:data.frame of locations (ncol 2 or 3), $bbox: matrix with columns giving window bounds |
R |
the fixed known interaction range. Use profile pl to infer this. |
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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