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1\section{mpdf Class Reference}
2\label{classmpdf}\index{mpdf@{mpdf}}
3Conditional probability density, e.g. modeling some dependencies. 
4
5
6{\tt \#include $<$libBM.h$>$}
7
8Inheritance diagram for mpdf:\nopagebreak
9\begin{figure}[H]
10\begin{center}
11\leavevmode
12\includegraphics[width=43pt]{classmpdf__inherit__graph}
13\end{center}
14\end{figure}
15Collaboration diagram for mpdf:\nopagebreak
16\begin{figure}[H]
17\begin{center}
18\leavevmode
19\includegraphics[width=43pt]{classmpdf__coll__graph}
20\end{center}
21\end{figure}
22\subsection*{Public Member Functions}
23\begin{CompactItemize}
24\item 
25virtual vec {\bf samplecond} (vec \&cond, double lik)
26\begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item 
27virtual void \textbf{condition} (vec \&cond)\label{classmpdf_cfb3dffef7c03598622e414668bb0588}
28
29\end{CompactItemize}
30
31
32\subsection{Detailed Description}
33Conditional probability density, e.g. modeling some dependencies.
34
35\subsection{Member Function Documentation}
36\index{mpdf@{mpdf}!samplecond@{samplecond}}
37\index{samplecond@{samplecond}!mpdf@{mpdf}}
38\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual vec mpdf::samplecond (vec \& {\em cond}, double {\em lik})\hspace{0.3cm}{\tt  [inline, virtual]}}\label{classmpdf_c20c796f8d0a201f0897299150e45a41}
39
40
41Returns the required moment of the \doxyref{epdf}{p.}{classepdf}.
42
43Returns a sample from the density conditioned on {\tt cond}, \$\doxyref{epdf}{p.}{classepdf}(rv$|$cond)\$ 
44
45The documentation for this class was generated from the following file:\begin{CompactItemize}
46\item 
47work/mixpp/bdm/stat/{\bf libBM.h}\end{CompactItemize}
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