Pseudo-likelihood Estimation of a Strauss Spatial Point Process

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)
#> [1] 0.1508756