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 = F)
REQUIRED ARGUMENTS:
- pp
-
a pp object
- R
-
the fixed parameter
R
OPTIONAL ARGUMENTS:
- 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]
.
SEE ALSO:
EXAMPLES:
pines <- ppinit("pines.dat")
pplik(pines, 0.7)