pplik: Pseudo-likelihood Estimation of a Strauss Spatial Point...
In spatial: Functions for Kriging and Point Pattern Analysis
pplik R Documentation
Pseudo-likelihood Estimation of a Strauss Spatial Point Process
Description
Pseudo-likelihood estimation of a Strauss spatial point process.
Usage
pplik(pp, R, ng=50, trace=FALSE)
Arguments
pp
a pp object
R
the fixed parameter R
ng
use a ng x ng grid with border R in the domain for numerical
integration.
trace
logical? Should function evaluations be printed?
Value
estimate for c in the interval [0, 1].
References
Ripley, B. D. (1988) Statistical Inference for Spatial
Processes. Cambridge.
Venables, W. N. and Ripley, B. D. (2002)
Modern Applied Statistics with S. Fourth edition. Springer.
See Also
Strauss
Examples
pines <- ppinit("pines.dat")
pplik(pines, 0.7)
spatial documentation built on July 26, 2023, 5:33 p.m.
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| pplik | R Documentation |
Pseudo-likelihood Estimation of a Strauss Spatial Point Process
Description
Pseudo-likelihood estimation of a Strauss spatial point process.
Usage
pplik(pp, R, ng=50, trace=FALSE)
Arguments
pp |
a pp object |
R |
the fixed parameter |
ng |
use a |
trace |
logical? Should function evaluations be printed? |
Value
estimate for c in the interval [0, 1].
References
Ripley, B. D. (1988) Statistical Inference for Spatial Processes. Cambridge.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
Strauss
Examples
pines <- ppinit("pines.dat")
pplik(pines, 0.7)
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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