Changeset 140 for doc/latex/classmEF.tex

Timestamp:

08/18/08 14:28:04 (16 years ago)

Author:

smidl

Message:

Latex doc

Files:

• doc/latex/classmEF.tex (modified) (3 diffs)

doc/latex/classmEF.tex

@@ -28 +28 @@
 virtual vec {\bf samplecond} (vec \&cond, double \&ll)
 \begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item 
+virtual mat {\bf samplecond} (vec \&cond, vec \&ll, int N)
+\begin{CompactList}\small\item\em Returns N samples from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item\end{CompactList}\item 
 virtual void {\bf condition} (const vec \&cond)\label{classmpdf_0f95a0cc6ab40611f46804682446ed83}
 
@@ -62 +64 @@
 \index{mEF@{mEF}!samplecond@{samplecond}}
 \index{samplecond@{samplecond}!mEF@{mEF}}
-\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual vec mpdf::samplecond (vec \& {\em cond}, \/  double \& {\em ll})\hspace{0.3cm}{\tt  [inline, virtual, inherited]}}\label{classmpdf_b0193a350c97933ddf15b15a130da352}
+\subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual vec mpdf::samplecond (vec \& {\em cond}, \/  double \& {\em ll})\hspace{0.3cm}{\tt  [inline, virtual, inherited]}}\label{classmpdf_b0193a350c97933ddf15b15a130da352}
 
 
@@ -78 +80 @@
 References mpdf::condition(), mpdf::ep, epdf::evalpdflog(), and epdf::sample().
 
-Referenced by MPF$<$ BM\_\-T $>$::bayes(), and PF::bayes().
+Referenced by MPF$<$ BM\_\-T $>$::bayes(), and PF::bayes().\index{mEF@{mEF}!samplecond@{samplecond}}
+\index{samplecond@{samplecond}!mEF@{mEF}}
+\subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual mat mpdf::samplecond (vec \& {\em cond}, \/  vec \& {\em ll}, \/  int {\em N})\hspace{0.3cm}{\tt  [inline, virtual, inherited]}}\label{classmpdf_6bf806badfdac606c847e458e8fce18c}
+
+
+Returns N samples from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. 
+
+\begin{Desc}
+\item[Parameters:]
+\begin{description}
+\item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description}
+\end{Desc}
+
+
+Reimplemented in {\bf mlnorm$<$ sq\_\-T $>$} \doxyref{}{p.}{classmlnorm_215fb88cc8b95d64cdefd6849abdd1e8}, and {\bf mgamma} \doxyref{}{p.}{classmgamma_e9d52749793f40aad85b70c6db4435ae}.
+
+References mpdf::condition(), RV::count(), mpdf::ep, epdf::evalpdflog(), mpdf::rv, and epdf::sample().
 
 The documentation for this class was generated from the following file:\begin{CompactItemize}