Description Objects from the Class Slots Methods Note Author(s) See Also Examples

Multivariate skew-elliptically contoured distributions

Objects can be created by a call to function `makeSECdistr`

,
when its argument `dp`

is a list, or by a suitable transformation of
some object of this class. They can also obtained from an object generated
by `selm`

using the function `extractSEDdistr`

.

`family`

:a character string which identifies the parametric family; currently, possible values are:

`"SN"`,`"ESN"`,`"ST"`,`"SC"`.`dp`

:a list of parameters; its length depends on the selected

`family`

.`name`

:a character string with the name of the multivariate variable; it can be an empty string.

`compNames`

:a vector of character strings with the names of the component variables.

- show
`signature(object = "SECdistrMv-class")`

: ...- plot
`signature(x = "SECdistrMv-class")`

: ...- summary
`signature(object = "SECdistrMv-class")`

: ...- mean
`signature(x = "SECdistrUv")`

: ...- vcov
`signature(object = "SECdistrUv")`

: ...

See `makeSECdistr`

for a detailed description of
`family`

and `dp`

.

Note that here methods `mean`

and `vcov`

are not applied
to data or to a fitted model, but to a *probability
distribution* instead, of which they provide the mean (vector) value
and the variance-covariance matrix. If methods `mean`

and `vcov`

are applied to a distribution for which the mean or the variance do
not exist, a `NULL`

value is returned and a warning message
is issued.

Adelchi Azzalini

`SECdistrUv`

,
`plot,SECdistrMv-method`

,
`summary,SECdistrMv-method`

,
`affineTransSECdistr`

, `marginalSECdistr`

,
`extractSECdistr`

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