DISTRIBUTION {convdistr} | R Documentation |

## DISTRIBUTION class

### Description

DISTRIBUTION is a kind of abstract class (or interface)
that the specific constructors should implement.

### Details

It contains 4 fields

- distribution
A character with the name of the distribution implemented

- seed
A numerical that is used for `details`

to produce
reproducible details of the distribution

- oval
Observed value. Is the value expected. It is used as a
number for the mathematical operations of the distributions
as if they were a simple scalar

- rfunc
A function that generate random numbers from the distribution.
Its only parameter `n`

is the number of draws of the distribution.
It returns a matrix with as many rows as n, and as many columns as the
dimensions of the distributions

The DISTRIBUTION objects could support multidimensional distributions
for example `DIRICHLET`

. The names of the dimensions
should coincides with the names of the `oval`

vector.
If only one dimension, the default name is `rvar`

.

It is expected that the `rfunc`

is included in the creation of new
distributions by convolution so the environment should be carefully controlled
to avoid reference leaking that is possible within the R language. For that
reason, `rfunc`

should be created within a `restrict_environment`

function

Once the object is instanced, the fields are immutable and should not be
changed. If the seed needs to be modified, a new object can be created using
the `set_seed`

function

Objects are defined for the following distributions

### Value

a DISTRIBUTION object

### Author(s)

John J. Aponte

[Package

*convdistr* version 1.5.3

Index]