# bdm::mlnorm< sq_T, TEpdf > Class Template Reference

Normal distributed linear function with linear function of mean value;. More...

## Detailed Description

### template<class sq_T, template< typename > class TEpdf = enorm>
class bdm::mlnorm< sq_T, TEpdf >

Normal distributed linear function with linear function of mean value;.

Mean value .

`#include <exp_family.h>`

List of all members.

## 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 `A` and `R`.
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 `ep` to point to given `iepdf`
void | set_ep (epdf *iepdfp)
| set internal pointer `ep` to point to given `iepdf`
## 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.

## Member Function Documentation

template<class sq_T, template< typename > class TEpdf = enorm>

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.

template<class sq_T, template< typename > class TEpdf = enorm>

void bdm::mlnorm< sq_T, TEpdf >::from_setting | ( | const Setting & | set | ) | `[inline, virtual]`

Create Normal density with linear function of mean value

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< ldmat, enorm >::from_setting().

The documentation for this class was generated from the following file:

- exp_family.h