# egiw Class Reference

Gauss-inverse-Wishart density stored in LD form. More...

`#include <libEF.h>`

Inheritance diagram for egiw:

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Collaboration diagram for egiw:

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List of all members.

## Public Member Functions
| egiw (RV rv, mat V0, double nu0)
| Default constructor.
vec | sample () const
| Returns the required moment of the epdf.
vec | mean () const
| return expected value
double | evalpdflog (const vec &val) const
| Compute log-probability of argument `val`.
double | lognc () const
| logarithm of the normalizing constant,
ldmat & | _V ()
| returns a pointer to the internal statistics. Use with Care!
double & | _nu ()
| returns a pointer to the internal statistics. Use with Care!
virtual void | tupdate (double phi, mat &vbar, double nubar)
| TODO decide if it is really needed.
virtual void | dupdate (mat &v, double nu=1.0)
| TODO decide if it is really needed.
virtual mat | sampleN (int N) const
| Returns N samples from density .
virtual double | eval (const vec &val) const
| Compute probability of argument `val`.
RV & | _rv ()
| access function, possibly dangerous!
## Protected Attributes
ldmat | V
| Extended information matrix of sufficient statistics.
double | nu
| Number of data records (degrees of freedom) of sufficient statistics.
RV | rv
| Identified of the random variable.

## Detailed Description

Gauss-inverse-Wishart density stored in LD form.

More?...

## Member Function Documentation

vec egiw::sample | ( |  | ) | const`[virtual]`

Returns the required moment of the epdf.

Returns a sample, from density

Implements epdf.

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

- work/git/mixpp/bdm/stat/libEF.h
- work/git/mixpp/bdm/stat/libEF.cpp