

    \filetitle{plotneigh}{Plot local behaviour of objective function after estimation}{grfun/plotneigh}

	\paragraph{Syntax}
 
 \begin{verbatim}
 [FIGH,AXH,OBJH,LIKH,ESTH,BH] = grfun.plotneigh(D,...)
 \end{verbatim}
 \paragraph{Input arguments}
 
 \begin{itemize}
 \item
   \texttt{D} {[} struct {]} - Structure describing the local behaviour
   of the objective function returned by the
   \href{model/neighbourhood}{\texttt{neighbourhood}} function.
 \end{itemize}
 \paragraph{Output arguments}
 
 \begin{itemize}
 \item
   \texttt{FIGH} {[} numeric {]} - Handles to the figures created.
 \item
   \texttt{AXH} {[} numeric {]} - Handles to the axes objects created.
 \item
   \texttt{OBJH} {[} numeric {]} - Handles to the objective function
   curves plotted.
 \item
   \texttt{LIKH} {[} numeric {]} - Handles to the data likelihood curves
   plotted.
 \item
   \texttt{ESTH} {[} numeric {]} - Handles to the actual estimate marks
   plotted.
 \item
   \texttt{BH} {[} numeric {]} - Handles to the bounds plotted.
 \end{itemize}
 \paragraph{Options}
 
 \begin{itemize}
 \item
   \texttt{'plotObj='} {[} \emph{\texttt{true}} \textbar{} \texttt{false}
   {]} - Plot the local behaviour of the overall objective function.
 \item
   \texttt{'plotLik='} {[} \emph{\texttt{true}} \textbar{} \texttt{false}
   {]} - Plot the local behaviour of the data likelihood component.
 \item
   \texttt{'plotEst='} {[} \emph{\texttt{true}} \textbar{} \texttt{false}
   {]} - Mark the actual parameter estimate.
 \item
   \texttt{'plotBounds='} {[} \emph{\texttt{true}} \textbar{}
   \texttt{false} {]} - Draw the lower and/or upper bounds if they fall
   within the graph range.
 \item
   \texttt{'subplot='} {[} \emph{\texttt{'auto'}} \textbar{} numeric {]}
   - Subplot division of the figure when plotting the results.
 \item
   \texttt{'linkAxes='} {[} \texttt{true} \textbar{}
   \emph{\texttt{false}} {]} - Make the vertical axes identical for all
   graphs.
 \end{itemize}
 \paragraph{Description}
 
 The data log-likelihood curves are shifted up or down by an arbitrary
 constant to make them fit in the graph; their curvature is preserved.
 
 \paragraph{Example}


