Normal distributed linear function with linear function of mean value;. More...
Normal distributed linear function with linear function of mean value;.
Mean value  .
. 
#include <exp_family.h>
| Public Member Functions | |
| void | condition (const vec &cond) | 
| const vec & | _mu_const () const | 
| access function | |
| const mat & | _A () const | 
| access function | |
| mat | _R () const | 
| access function | |
| void | from_setting (const Setting &set) | 
| void | validate () | 
| This method TODO. | |
| TEpdf< sq_T > & | e () | 
| access function to iepdf | |
| vec | samplecond (const vec &cond) | 
| Reimplements samplecond using condition(). | |
| double | evallogcond (const vec &val, const vec &cond) | 
| Reimplements evallogcond using condition(). | |
| virtual vec | evallogcond_m (const mat &Dt, const vec &cond) | 
| Efficient version of evallogcond for matrices. | |
| virtual vec | evallogcond_m (const Array< vec > &Dt, const vec &cond) | 
| Efficient version of evallogcond for Array<vec>. | |
| virtual mat | samplecond_m (const vec &cond, int N) | 
| Efficient version of samplecond. | |
| virtual string | to_string () | 
| This method returns a basic info about the current instance. | |
| virtual void | to_setting (Setting &set) const | 
| This method save all the instance properties into the Setting structure. | |
| Constructors | |
| mlnorm () | |
| mlnorm (const mat &A, const vec &mu0, const sq_T &R) | |
| void | set_parameters (const mat &A0, const vec &mu0, const sq_T &R0) | 
| Set AandR. | |
| Access to attributes | |
| const RV & | _rv () const | 
| const RV & | _rvc () const | 
| int | dimension () const | 
| int | dimensionc () | 
| Connection to other objects | |
| void | set_rvc (const RV &rvc0) | 
| void | set_rv (const RV &rv0) | 
| bool | isnamed () | 
| Protected Member Functions | |
| void | set_ep (epdf &iepdf) | 
| set internal pointer epto point to giveniepdf | |
| void | set_ep (epdf *iepdfp) | 
| set internal pointer epto point to giveniepdf | |
| Protected Attributes | |
| mat | A | 
| Internal epdf that arise by conditioning on rvc. | |
| vec | mu_const | 
| Constant additive term. | |
| TEpdf< sq_T > | iepdf | 
| Internal epdf used for sampling. | |
| int | dimc | 
| dimension of the condition | |
| RV | rvc | 
| random variable in condition | |
| Friends | |
| template<typename sq_M > | |
| std::ostream & | operator<< (std::ostream &os, mlnorm< sq_M, enorm > &ml) | 
| Debug stream. | |
| void bdm::mlnorm< sq_T, TEpdf >::condition | ( | const vec & | cond | ) |  [inline, virtual] | 
Set value of rvc . Result of this operation is stored in epdf use function _ep to access it. 
Reimplemented from bdm::mpdf_internal< TEpdf< sq_T > >.
Reimplemented in bdm::mlstudent.
| void bdm::mlnorm< sq_T, TEpdf >::from_setting | ( | const Setting & | set | ) |  [inline, virtual] | 
Create Normal density with linear function of mean value
![\[ f(rv|rvc) = N(A*rvc+const, R) \]](form_168.png) 
from structure
class = 'mlnorm<ldmat>', (OR) 'mlnorm<chmat>', (OR) 'mlnorm<fsqmat>'; A = []; // matrix or vector of appropriate dimension const = []; // vector of constant term R = []; // square matrix of appropriate dimension
Reimplemented from bdm::mpdf.
Referenced by bdm::mlnorm< chmat >::from_setting().
 1.6.1
 1.6.1