spatial: pplik – R documentation

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pplik

Pseudo-likelihood Estimation of a Strauss Spatial Point Process

Pseudo-likelihood estimation of a Strauss spatial point process.

pplik(pp, R, ng=50, trace=FALSE)

`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?

estimate for c in the interval [0, 1].

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.

pines <- ppinit("pines.dat")
pplik(pines, 0.7)

Functions for Kriging and Point Pattern Analysis

v7.3-14

GPL-2 | GPL-3

Authors

Brian Ripley [aut, cre, cph], Roger Bivand [ctb], William Venables [cph]

Initial release

2021-04-17