# bdm::euni Class Reference

`#include <libEF.h>`

Inheritance diagram for bdm::euni:

[legend]

List of all members.

## Detailed Description

Uniform distributed density on a rectangular support.

## Public Member Functions
| euni ()
| Defualt constructor.
double | eval (const vec &val) const
double | evallog (const vec &val) const
| Compute log-probability of argument `val`.
vec | sample () const
| Returns a sample, from density .
void | set_parameters (const vec &low0, const vec &high0)
| set values of `low` and `high`
vec | mean () const
| return expected value
vec | variance () const
| return expected variance (not covariance!)
Matematical Operations
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.
Connection to other classes
Description of the random quantity via attribute `rv` is optional. For operations such as sampling `rv` does not need to be set. However, for `marginalization` and `conditioning` `rv` has to be set. NB:
void | set_rv (const RV &rv0)
| Name its rv.
bool | isnamed () const
| True if rv is assigned.
const RV & | _rv () const
| Return name (fails when isnamed is false).
Access to attributes
bool | dimension () const
| Size of the random variable.
## Protected Attributes
vec | low
| lower bound on support
vec | high
| upper bound on support
vec | distance
| internal
double | nk
| normalizing coefficients
double | lnk
| cache of log( `nk` )
int | dim
| dimension of the random variable
RV | rv
| Description of the random variable.

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

- libEF.h