spatial (version 7.3-17)

pplik: 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)

Value

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

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?

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)