\HeaderA{pplik}{Pseudo-likelihood Estimation of a Strauss Spatial Point Process}{pplik}
\keyword{spatial}{pplik}
\begin{Description}\relax
Pseudo-likelihood estimation of a Strauss spatial point process.
\end{Description}
\begin{Usage}
\begin{verbatim}
pplik(pp, R, ng=50, trace=FALSE)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{pp}] a pp object

\item[\code{R}] the fixed parameter \code{R}

\item[\code{ng}] use a \code{ng}  x  \code{ng} grid with border \code{R} in the domain for numerical
integration.

\item[\code{trace}] logical? Should function evaluations be printed?

\end{ldescription}
\end{Arguments}
\begin{Value}
estimate for \code{c} in the interval \code{[0, 1]}.
\end{Value}
\begin{References}\relax
Ripley, B. D. (1988) \emph{Statistical Inference for Spatial
Processes.} Cambridge.

Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition.  Springer.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{Strauss}{Strauss}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
pines <- ppinit("pines.dat")
pplik(pines, 0.7)
\end{ExampleCode}
\end{Examples}

