Pseudo-likelihood Estimation of a Strauss Spatial Point...

pplik {spatial}

R Documentation

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)

[Package spatial version 7.3-11 Index]