# epdf Class Reference
[Core BDM classes]

Probability density function with numerical statistics, e.g. posterior density. More...

`#include <libBM.h>`

Inheritance diagram for epdf:

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Collaboration diagram for epdf:

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List of all members.

## Public Member Functions
| epdf ()
| default constructor
| epdf (const RV &rv0)
| default constructor
virtual vec | sample () const =0
| Returns a sample, from density .
virtual mat | sample_m (int N) const
| Returns N samples from density .
virtual double | evallog (const vec &val) const =0
| Compute log-probability of argument `val`.
virtual vec | evallog_m (const mat &Val) const
| Compute log-probability of multiple values argument `val`.
virtual mpdf * | condition (const RV &rv) const
| Return conditional density on the given RV, the remaining rvs will be in conditioning.
virtual epdf * | marginal (const RV &rv) const
| Return marginal density on the given RV, the remainig rvs are intergrated out.
virtual vec | mean () const =0
| return expected value
virtual vec | variance () const =0
| return expected variance (not covariance!)
virtual | ~epdf ()
| Destructor for future use;.
const RV & | _rv () const
| access function, possibly dangerous!
void | _renewrv (const RV &in_rv)
| modifier function - useful when copying epdfs
## Protected Attributes
RV | rv
| Identified of the random variable.

## Detailed Description

Probability density function with numerical statistics, e.g. posterior density.

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

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