\section{egamma Class Reference}
\label{classegamma}\index{egamma@{egamma}}
Gamma posterior density.  


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

Inheritance diagram for egamma:\nopagebreak
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Collaboration diagram for egamma:\nopagebreak
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\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
{\bf egamma} (const {\bf RV} \&rv)\label{classegamma_4b1d34f3b244ea51a58ec10c468788c1}

\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
void {\bf set\_\-parameters} (const vec \&a, const vec \&b)\label{classegamma_8e348b89be82b70471fe8c5630f61339}

\begin{CompactList}\small\item\em Sets parameters. \item\end{CompactList}\item 
vec {\bf sample} ()
\begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item 
mat \textbf{sample} (int N)\label{classegamma_44bf6a5361059cf7a219bc9f68ff570a}

\item 
double \textbf{evalpdflog} (const vec val)\label{classegamma_fdf5819ed32377d364d6e0f8e8d30868}

\item 
void {\bf \_\-param} (vec $\ast$\&a, vec $\ast$\&b)\label{classegamma_44445c56e60b91b377f207f8d5089790}

\begin{CompactList}\small\item\em Returns poiter to alpha and beta. Potentially dengerous: use with care! \item\end{CompactList}\item 
vec {\bf mean} ()\label{classegamma_6617890ffa40767fc196876534d4119d}

\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
virtual void \textbf{tupdate} (double phi, mat \&vbar, double nubar)\label{classeEF_fd88bc35550ec8fe9281d358216d0fcf}

\item 
virtual void \textbf{dupdate} (mat \&v, double nu=1.0)\label{classeEF_5863718c3b2fb1496dece10c5b745d5c}

\item 
virtual double {\bf eval} (const vec \&val)\label{classepdf_f333ceeb88ebc37d81fcd4cea4526bfc}

\begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item 
virtual double {\bf evalpdflog} (const vec \&val)\label{classepdf_113c76c61d20e3f2a24ba322a73dfc51}

\begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\end{CompactItemize}
\subsection*{Protected Attributes}
\begin{CompactItemize}
\item 
vec \textbf{alpha}\label{classegamma_376cebd8932546c440f21b182910b01b}

\item 
vec \textbf{beta}\label{classegamma_cfc5f136467488a421ab22f886323790}

\item 
{\bf RV} \textbf{rv}\label{classepdf_74da992e3f5d598da8850b646b79b9d9}

\end{CompactItemize}


\subsection{Detailed Description}
Gamma posterior density. 

Multvariate Gamma density as product of independent univariate densities. \[ f(x|a,b) = \prod f(x_i|a_i,b_i) \] 

\subsection{Member Function Documentation}
\index{egamma@{egamma}!sample@{sample}}
\index{sample@{sample}!egamma@{egamma}}
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}vec egamma::sample ()\hspace{0.3cm}{\tt  [virtual]}}\label{classegamma_0a2186a586432c2c3f22d09c5341890f}


Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. 

Returns a sample from the density, $x \sim epdf(rv)$ 

Implements {\bf epdf} \doxyref{}{p.}{classepdf_7f74d871d50b9ff360f1b3879092a9fa}.

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}