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        <definition>RV mpdf::rv</definition>
        <argsstring></argsstring>
        <name>rv</name>
        <briefdescription>
<para>modeled random variable </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <argsstring></argsstring>
        <name>rvc</name>
        <briefdescription>
<para>random variable in condition </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
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        <briefdescription>
<para>pointer to internal <ref refid="classepdf" kindref="compound">epdf</ref> </para>        </briefdescription>
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          <type>const vec &amp;</type>
          <declname>cond</declname>
        </param>
        <param>
          <type>double &amp;</type>
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        </param>
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<para>Returns the required moment of the <ref refid="classepdf" kindref="compound">epdf</ref>. </para>        </briefdescription>
        <detaileddescription>
<para>Returns a sample from the density conditioned on <computeroutput>cond</computeroutput>, <formula id="10">$x \sim epdf(rv|cond)$</formula>. <parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>cond</parametername>
</parameternamelist>
<parameterdescription>
<para>is numeric value of <computeroutput>rv</computeroutput> </para></parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>ll</parametername>
</parameternamelist>
<parameterdescription>
<para>is a return value of log-likelihood of the sample. </para></parameterdescription>
</parameteritem>
</parameterlist>
</para>        </detaileddescription>
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        <argsstring>(const vec &amp;cond, vec &amp;ll, int N)</argsstring>
        <name>samplecond</name>
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          <type>const vec &amp;</type>
          <declname>cond</declname>
        </param>
        <param>
          <type>vec &amp;</type>
          <declname>ll</declname>
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        <param>
          <type>int</type>
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        </param>
        <briefdescription>
<para>Returns. </para>        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>N</parametername>
</parameternamelist>
<parameterdescription>
<para>samples from the density conditioned on <computeroutput>cond</computeroutput>, <formula id="10">$x \sim epdf(rv|cond)$</formula>. </para></parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>cond</parametername>
</parameternamelist>
<parameterdescription>
<para>is numeric value of <computeroutput>rv</computeroutput> </para></parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>ll</parametername>
</parameternamelist>
<parameterdescription>
<para>is a return value of log-likelihood of the sample. </para></parameterdescription>
</parameteritem>
</parameterlist>
</para>        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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          <type>const vec &amp;</type>
          <declname>cond</declname>
        </param>
        <briefdescription>
<para>Update <computeroutput>ep</computeroutput> so that it represents this <ref refid="classmpdf" kindref="compound">mpdf</ref> conditioned on <computeroutput>rvc</computeroutput> = cond. </para>        </briefdescription>
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        </detaileddescription>
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        <name>evalcond</name>
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          <type>const vec &amp;</type>
          <declname>dt</declname>
        </param>
        <param>
          <type>const vec &amp;</type>
          <declname>cond</declname>
        </param>
        <briefdescription>
<para>Shortcut for conditioning and evaluation of the internal <ref refid="classepdf" kindref="compound">epdf</ref>. In some cases, this operation can be implemented efficiently. </para>        </briefdescription>
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        <inbodydescription>
        </inbodydescription>
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        <argsstring>()</argsstring>
        <name>~mpdf</name>
        <briefdescription>
<para>Destructor for future use;. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <param>
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          <declname>rvc0</declname>
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        <briefdescription>
<para>Default constructor. </para>        </briefdescription>
        <detaileddescription>
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        <inbodydescription>
        </inbodydescription>
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        <argsstring>()</argsstring>
        <name>_rvc</name>
        <briefdescription>
<para>access function </para>        </briefdescription>
        <detaileddescription>
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        </inbodydescription>
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        <briefdescription>
<para>access function </para>        </briefdescription>
        <detaileddescription>
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<para>access function </para>        </briefdescription>
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    <briefdescription>
<para>Conditional probability density, e.g. modeling some dependencies. </para>    </briefdescription>
    <detaileddescription>
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      <member refid="classmpdf_13f172b79ec4a5ebc87898a5381141f1b" prot="public" virt="virtual"><scope>mpdf</scope><name>samplecond</name></member>
      <member refid="classmpdf_10e37163660f93df2a4d723cedb1da89c" prot="public" virt="virtual"><scope>mpdf</scope><name>samplecond</name></member>
      <member refid="classmpdf_16788be9f3a888796499c5293a318fcfb" prot="public" virt="virtual"><scope>mpdf</scope><name>~mpdf</name></member>
    </listofallmembers>
  </compounddef>
</doxygen>
