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\section{mgamma Class Reference}
\label{classmgamma}\index{mgamma@{mgamma}}
Gamma random walk.  


{\tt \#include $<$libEF.h$>$}

Collaboration diagram for mgamma:\nopagebreak
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\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
{\bf mgamma} (const {\bf RV} \&rv, const {\bf RV} \&rvc)\label{classmgamma_af43e61b86900c0398d5c0ffc83b94e6}

\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item 
void \textbf{set\_\-parameters} (double k)\label{classmgamma_a9d646cf758a70126dde7c48790b6e94}

\item 
vec {\bf samplecond} (vec \&cond, double \&lik)\label{classmgamma_9f40dc43885085fad8e3d6652b79e139}

\begin{CompactList}\small\item\em Generate one sample of the posterior. \item\end{CompactList}\item 
mat {\bf samplecond} (vec \&cond, vec \&lik, int n)\label{classmgamma_e9d52749793f40aad85b70c6db4435ae}

\begin{CompactList}\small\item\em Generate matrix of samples of the posterior. \item\end{CompactList}\item 
void \textbf{condition} (const vec \&val)\label{classmgamma_a61094c9f7a2d64ea77b130cbc031f97}

\end{CompactItemize}


\subsection{Detailed Description}
Gamma random walk. 

Mean value, \$\$, of this density is given by {\tt rvc} . Standard deviation of the random walk is proportional to one \$k\$-th the mean. This is achieved by setting \$=k\$ and \$=k/\$.

The standard deviation of the walk is then: \$/(k)\$. 

The documentation for this class was generated from the following files:\begin{CompactItemize}
\item 
work/mixpp/bdm/stat/{\bf libEF.h}\item 
work/mixpp/bdm/stat/libEF.cpp\end{CompactItemize}