# eEF Class Reference

General conjugate exponential family posterior density. More...

`#include <libEF.h>`

Inheritance diagram for eEF:

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Collaboration diagram for eEF:

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List of all members.

## Public Member Functions
| eEF (const RV &rv)
| default constructor
virtual double | lognc () const =0
| logarithm of the normalizing constant,
virtual void | dupdate (mat &v)
| TODO decide if it is really needed.
virtual double | evallog_nn (const vec &val) const
| Evaluate normalized log-probability.
virtual double | evallog (const vec &val) const
| Evaluate normalized log-probability.
virtual vec | evallog (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 vec | sample () const =0
| Returns a sample, from density .
virtual mat | sample_m (int N) const
| Returns N samples from density .
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!)
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

General conjugate exponential family posterior density.

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

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