# eDirich Class Reference

Dirichlet posterior density. More...

`#include <libEF.h>`

Inheritance diagram for eDirich:

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Collaboration diagram for eDirich:

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List of all members.

## Public Member Functions
| eDirich (const RV &rv, const vec &beta0)
| Default constructor.
| eDirich (const eDirich &D0)
| Copy constructor.
vec | sample () const
| Returns a sample, from density .
vec | mean () const
| return expected value
double | evalpdflog_nn (const vec &val) const
| In this instance, val= [theta, r]. For multivariate instances, it is stored columnwise val = [theta_1 theta_2 ... r_1 r_2 ].
double | lognc () const
| logarithm of the normalizing constant,
vec & | _beta ()
| access function
virtual void | dupdate (mat &v)
| TODO decide if it is really needed.
virtual double | evalpdflog (const vec &val) const
| Evaluate normalized log-probability.
virtual vec | evalpdflog (const mat &Val) const
| Evaluate normalized log-probability for many samples.
virtual void | pow (double p)
| Power of the density, used e.g. to flatten the density.
virtual mat | sampleN (int N) const
| Returns N samples from density .
virtual double | eval (const vec &val) const
| Compute probability of argument `val`.
const RV & | _rv () const
| access function, possibly dangerous!
void | _renewrv (const RV &in_rv)
| modifier function - useful when copying epdfs
## Protected Attributes
vec | beta
| sufficient statistics
RV | rv
| Identified of the random variable.

## Detailed Description

Dirichlet posterior density.

Continuous Dirichlet density of -dimensional variable

where .

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

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