Index: doc/latex/classEKFfull.tex
===================================================================
--- doc/latex/classEKFfull.tex (revision 145)
+++ doc/latex/classEKFfull.tex (revision 172)
@@ -1,5 +1,7 @@
+\hypertarget{classEKFfull}{
 \section{EKFfull Class Reference}
 \label{classEKFfull}\index{EKFfull@{EKFfull}}
-Extended \doxyref{Kalman}{p.}{classKalman} Filter in full matrices.  
+}
+Extended \hyperlink{classKalman}{Kalman} Filter in full matrices.  
 
 
@@ -23,41 +25,74 @@
 \begin{CompactItemize}
 \item 
-{\bf EKFfull} ({\bf RV} rvx, {\bf RV} rvy, {\bf RV} rvu)\label{classEKFfull_67ac4de96fd025197da767fe0472c7f7}
+\hypertarget{classEKFfull_67ac4de96fd025197da767fe0472c7f7}{
+\hyperlink{classEKFfull_67ac4de96fd025197da767fe0472c7f7}{EKFfull} (\hyperlink{classRV}{RV} rvx, \hyperlink{classRV}{RV} rvy, \hyperlink{classRV}{RV} rvu)}
+\label{classEKFfull_67ac4de96fd025197da767fe0472c7f7}
 
 \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
-void {\bf set\_\-parameters} ({\bf diffbifn} $\ast$pfxu, {\bf diffbifn} $\ast$phxu, const mat Q0, const mat R0)\label{classEKFfull_fc753106e0d4cf68e4f2160fd54458c0}
+\hypertarget{classEKFfull_fc753106e0d4cf68e4f2160fd54458c0}{
+void \hyperlink{classEKFfull_fc753106e0d4cf68e4f2160fd54458c0}{set\_\-parameters} (\hyperlink{classdiffbifn}{diffbifn} $\ast$pfxu, \hyperlink{classdiffbifn}{diffbifn} $\ast$phxu, const mat Q0, const mat R0)}
+\label{classEKFfull_fc753106e0d4cf68e4f2160fd54458c0}
 
 \begin{CompactList}\small\item\em Set nonlinear functions for mean values and covariance matrices. \item\end{CompactList}\item 
-void {\bf bayes} (const vec \&dt)\label{classEKFfull_8ca46f177e395fa714bbd8bd29ea43e0}
-
-\begin{CompactList}\small\item\em Here dt = [yt;ut] of appropriate dimensions. \item\end{CompactList}\item 
-void {\bf set\_\-est} (vec mu0, mat P0)\label{classEKFfull_7bb76ea74c144ea0b36db99f94750b7b}
+\hypertarget{classEKFfull_8ca46f177e395fa714bbd8bd29ea43e0}{
+void \hyperlink{classEKFfull_8ca46f177e395fa714bbd8bd29ea43e0}{bayes} (const vec \&dt)}
+\label{classEKFfull_8ca46f177e395fa714bbd8bd29ea43e0}
+
+\begin{CompactList}\small\item\em Here dt = \mbox{[}yt;ut\mbox{]} of appropriate dimensions. \item\end{CompactList}\item 
+\hypertarget{classEKFfull_7bb76ea74c144ea0b36db99f94750b7b}{
+void \hyperlink{classEKFfull_7bb76ea74c144ea0b36db99f94750b7b}{set\_\-est} (vec mu0, mat P0)}
+\label{classEKFfull_7bb76ea74c144ea0b36db99f94750b7b}
 
 \begin{CompactList}\small\item\em set estimates \item\end{CompactList}\item 
-{\bf epdf} \& {\bf \_\-epdf} ()\label{classEKFfull_4080d68f79dade36ccf547d57e64bdc2}
+\hypertarget{classEKFfull_170a748ad944bdebb0b3073463876abe}{
+const \hyperlink{classepdf}{epdf} \& \hyperlink{classEKFfull_170a748ad944bdebb0b3073463876abe}{\_\-epdf} () const }
+\label{classEKFfull_170a748ad944bdebb0b3073463876abe}
 
 \begin{CompactList}\small\item\em dummy! \item\end{CompactList}\item 
-void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9}
+\hypertarget{classBM_0186270f75189677f390fe088a9947e9}{
+virtual void \hyperlink{classBM_0186270f75189677f390fe088a9947e9}{bayesB} (const mat \&Dt)}
+\label{classBM_0186270f75189677f390fe088a9947e9}
 
 \begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 
-const {\bf RV} \& {\bf \_\-rv} () const \label{classBM_126bd2595c48e311fc2a7ab72876092a}
+virtual double \hyperlink{classBM_8a8ce6df431689964c41cc6c849cfd06}{logpred} (const vec \&dt) const 
+\item 
+\hypertarget{classBM_126bd2595c48e311fc2a7ab72876092a}{
+const \hyperlink{classRV}{RV} \& \hyperlink{classBM_126bd2595c48e311fc2a7ab72876092a}{\_\-rv} () const }
+\label{classBM_126bd2595c48e311fc2a7ab72876092a}
 
 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
-double {\bf \_\-ll} () const \label{classBM_87f4a547d2c29180be88175e5eab9c88}
-
-\begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize}
+\hypertarget{classBM_87f4a547d2c29180be88175e5eab9c88}{
+double \hyperlink{classBM_87f4a547d2c29180be88175e5eab9c88}{\_\-ll} () const }
+\label{classBM_87f4a547d2c29180be88175e5eab9c88}
+
+\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
+\hypertarget{classBM_1ffa9f23669aabecc3760c06c6987522}{
+void \hyperlink{classBM_1ffa9f23669aabecc3760c06c6987522}{set\_\-evalll} (bool evl0)}
+\label{classBM_1ffa9f23669aabecc3760c06c6987522}
+
+\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
+virtual \hyperlink{classBM}{BM} $\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-} (bool changerv=false)
+\end{CompactItemize}
 \subsection*{Public Attributes}
 \begin{CompactItemize}
 \item 
-vec {\bf mu}\label{classKalmanFull_fb5aec635e2720cc5ac31bc01c18a68a}
+\hypertarget{classKalmanFull_fb5aec635e2720cc5ac31bc01c18a68a}{
+vec \hyperlink{classKalmanFull_fb5aec635e2720cc5ac31bc01c18a68a}{mu}}
+\label{classKalmanFull_fb5aec635e2720cc5ac31bc01c18a68a}
 
 \begin{CompactList}\small\item\em Mean value of the posterior density. \item\end{CompactList}\item 
-mat {\bf P}\label{classKalmanFull_b75dc059e84fa8ffc076203b30f926cc}
+\hypertarget{classKalmanFull_b75dc059e84fa8ffc076203b30f926cc}{
+mat \hyperlink{classKalmanFull_b75dc059e84fa8ffc076203b30f926cc}{P}}
+\label{classKalmanFull_b75dc059e84fa8ffc076203b30f926cc}
 
 \begin{CompactList}\small\item\em Variance of the posterior density. \item\end{CompactList}\item 
-bool \textbf{evalll}\label{classKalmanFull_c17d69e125acd2673e6688fd86dd3f84}
-
-\item 
-double \textbf{ll}\label{classKalmanFull_3aa4bf6128980d0627413dcf9cd07308}
+\hypertarget{classKalmanFull_c17d69e125acd2673e6688fd86dd3f84}{
+bool \textbf{evalll}}
+\label{classKalmanFull_c17d69e125acd2673e6688fd86dd3f84}
+
+\item 
+\hypertarget{classKalmanFull_3aa4bf6128980d0627413dcf9cd07308}{
+double \textbf{ll}}
+\label{classKalmanFull_3aa4bf6128980d0627413dcf9cd07308}
 
 \end{CompactItemize}
@@ -65,56 +100,90 @@
 \begin{CompactItemize}
 \item 
-int \textbf{dimx}\label{classKalmanFull_c5353e66238ed717dba79e0499118226}
-
-\item 
-int \textbf{dimy}\label{classKalmanFull_761fadcc12dd4cb83bb8b5e27db01947}
-
-\item 
-int \textbf{dimu}\label{classKalmanFull_609a4a0fcde78fd7aac2f01b34e952c9}
-
-\item 
-mat \textbf{A}\label{classKalmanFull_554de4c953761380cd5a14a02542e007}
-
-\item 
-mat \textbf{B}\label{classKalmanFull_ac7ade2a603a1b05419e36c5aae21755}
-
-\item 
-mat \textbf{C}\label{classKalmanFull_5a9a8326ae17b519109fcdad59ea74a3}
-
-\item 
-mat \textbf{D}\label{classKalmanFull_8f992a2d6b66d2e8bd9174b28cc0f074}
-
-\item 
-mat \textbf{R}\label{classKalmanFull_bbd2dab10da47237a5f0d9e55fd61f24}
-
-\item 
-mat \textbf{Q}\label{classKalmanFull_a8777c1fe67763395d3ddeb326239851}
-
-\item 
-mat \textbf{\_\-Pp}\label{classKalmanFull_905823cf4157a11b8b824e45809dac55}
-
-\item 
-mat \textbf{\_\-Ry}\label{classKalmanFull_b1b946b3a43f7d86cf4b6dc0dd6e3210}
-
-\item 
-mat \textbf{\_\-iRy}\label{classKalmanFull_c7d915386a9d60b1bc309ae9166764f6}
-
-\item 
-mat \textbf{\_\-K}\label{classKalmanFull_4c8354ea4801529f3071189ddd10d760}
-
-\item 
-{\bf RV} {\bf rv}\label{classBM_af00f0612fabe66241dd507188cdbf88}
+\hypertarget{classKalmanFull_c5353e66238ed717dba79e0499118226}{
+int \textbf{dimx}}
+\label{classKalmanFull_c5353e66238ed717dba79e0499118226}
+
+\item 
+\hypertarget{classKalmanFull_761fadcc12dd4cb83bb8b5e27db01947}{
+int \textbf{dimy}}
+\label{classKalmanFull_761fadcc12dd4cb83bb8b5e27db01947}
+
+\item 
+\hypertarget{classKalmanFull_609a4a0fcde78fd7aac2f01b34e952c9}{
+int \textbf{dimu}}
+\label{classKalmanFull_609a4a0fcde78fd7aac2f01b34e952c9}
+
+\item 
+\hypertarget{classKalmanFull_554de4c953761380cd5a14a02542e007}{
+mat \textbf{A}}
+\label{classKalmanFull_554de4c953761380cd5a14a02542e007}
+
+\item 
+\hypertarget{classKalmanFull_ac7ade2a603a1b05419e36c5aae21755}{
+mat \textbf{B}}
+\label{classKalmanFull_ac7ade2a603a1b05419e36c5aae21755}
+
+\item 
+\hypertarget{classKalmanFull_5a9a8326ae17b519109fcdad59ea74a3}{
+mat \textbf{C}}
+\label{classKalmanFull_5a9a8326ae17b519109fcdad59ea74a3}
+
+\item 
+\hypertarget{classKalmanFull_8f992a2d6b66d2e8bd9174b28cc0f074}{
+mat \textbf{D}}
+\label{classKalmanFull_8f992a2d6b66d2e8bd9174b28cc0f074}
+
+\item 
+\hypertarget{classKalmanFull_bbd2dab10da47237a5f0d9e55fd61f24}{
+mat \textbf{R}}
+\label{classKalmanFull_bbd2dab10da47237a5f0d9e55fd61f24}
+
+\item 
+\hypertarget{classKalmanFull_a8777c1fe67763395d3ddeb326239851}{
+mat \textbf{Q}}
+\label{classKalmanFull_a8777c1fe67763395d3ddeb326239851}
+
+\item 
+\hypertarget{classKalmanFull_905823cf4157a11b8b824e45809dac55}{
+mat \textbf{\_\-Pp}}
+\label{classKalmanFull_905823cf4157a11b8b824e45809dac55}
+
+\item 
+\hypertarget{classKalmanFull_b1b946b3a43f7d86cf4b6dc0dd6e3210}{
+mat \textbf{\_\-Ry}}
+\label{classKalmanFull_b1b946b3a43f7d86cf4b6dc0dd6e3210}
+
+\item 
+\hypertarget{classKalmanFull_c7d915386a9d60b1bc309ae9166764f6}{
+mat \textbf{\_\-iRy}}
+\label{classKalmanFull_c7d915386a9d60b1bc309ae9166764f6}
+
+\item 
+\hypertarget{classKalmanFull_4c8354ea4801529f3071189ddd10d760}{
+mat \textbf{\_\-K}}
+\label{classKalmanFull_4c8354ea4801529f3071189ddd10d760}
+
+\item 
+\hypertarget{classBM_af00f0612fabe66241dd507188cdbf88}{
+\hyperlink{classRV}{RV} \hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}}
+\label{classBM_af00f0612fabe66241dd507188cdbf88}
 
 \begin{CompactList}\small\item\em Random variable of the posterior. \item\end{CompactList}\item 
-double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979}
+\hypertarget{classBM_5623fef6572a08c2b53b8c87b82dc979}{
+double \hyperlink{classBM_5623fef6572a08c2b53b8c87b82dc979}{ll}}
+\label{classBM_5623fef6572a08c2b53b8c87b82dc979}
 
 \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 
-bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129}
-
-\begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save time. \item\end{CompactList}\end{CompactItemize}
+\hypertarget{classBM_bf6fb59b30141074f8ee1e2f43d03129}{
+bool \hyperlink{classBM_bf6fb59b30141074f8ee1e2f43d03129}{evalll}}
+\label{classBM_bf6fb59b30141074f8ee1e2f43d03129}
+
+\begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save computational time. \item\end{CompactList}\end{CompactItemize}
 \subsection*{Friends}
 \begin{CompactItemize}
 \item 
-std::ostream \& {\bf operator$<$$<$} (std::ostream \&os, const {\bf KalmanFull} \&kf)\label{classKalmanFull_86ba216243ed95bb46d80d88775d16af}
+\hypertarget{classKalmanFull_86ba216243ed95bb46d80d88775d16af}{
+std::ostream \& \hyperlink{classKalmanFull_86ba216243ed95bb46d80d88775d16af}{operator$<$$<$} (std::ostream \&os, const \hyperlink{classKalmanFull}{KalmanFull} \&kf)}
+\label{classKalmanFull_86ba216243ed95bb46d80d88775d16af}
 
 \begin{CompactList}\small\item\em print elements of KF \item\end{CompactList}\end{CompactItemize}
@@ -122,10 +191,33 @@
 
 \subsection{Detailed Description}
-Extended \doxyref{Kalman}{p.}{classKalman} Filter in full matrices. 
+Extended \hyperlink{classKalman}{Kalman} Filter in full matrices. 
 
 An approximation of the exact Bayesian filter with Gaussian noices and non-linear evolutions of their mean. 
 
+\subsection{Member Function Documentation}
+\hypertarget{classBM_8a8ce6df431689964c41cc6c849cfd06}{
+\index{EKFfull@{EKFfull}!logpred@{logpred}}
+\index{logpred@{logpred}!EKFfull@{EKFfull}}
+\subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}virtual double BM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
+\label{classBM_8a8ce6df431689964c41cc6c849cfd06}
+
+
+Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out. 
+
+Reimplemented in \hyperlink{classARX_e7f9e7823aec9bf7ddc3b42d9b3304c4}{ARX}, \hyperlink{classMixEF_424ca64f36d4e41de7a7e7ae921d35ea}{MixEF}, and \hyperlink{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{multiBM}.\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{
+\index{EKFfull@{EKFfull}!\_\-copy\_\-@{\_\-copy\_\-}}
+\index{\_\-copy\_\-@{\_\-copy\_\-}!EKFfull@{EKFfull}}
+\subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ BM::\_\-copy\_\- (bool {\em changerv} = {\tt false})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
+\label{classBM_eb58c81d6a7b75b05fc6f276eed78887}
+
+
+Copy function required in vectors, Arrays of \hyperlink{classBM}{BM} etc. Have to be DELETED manually! Prototype: BM$\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-()}\{\hyperlink{classBM}{BM} Tmp$\ast$=new Tmp(this$\ast$); return Tmp; \} 
+
+Reimplemented in \hyperlink{classARX_d2751057811c6fb8f4ff86e1648bcddc}{ARX}.
+
+Referenced by MixEF::MixEF().
+
 The documentation for this class was generated from the following files:\begin{CompactItemize}
 \item 
-work/git/mixpp/bdm/estim/{\bf libKF.h}\item 
+work/git/mixpp/bdm/estim/\hyperlink{libKF_8h}{libKF.h}\item 
 work/git/mixpp/bdm/estim/libKF.cpp\end{CompactItemize}
