# SECdistrUv-class: Class '"SECdistrUv"' In sn: The Skew-Normal and Related Distributions Such as the Skew-t

## Description

Univariate skew-elliptically contoured distributions

## Objects from the class

Objects can be created by a call to function `makeSECdistr` when its argument `dp` is a vector. They can also obtained from an object generated by `selm` using the function `extractSEDdistr`.

## Slots

`family`:

a character string which selects the parametric family; currently, possible values are: "SN", "ESN", "ST", "SC".

`dp`:

a numeric vector of parameters; its length depends on the selected `family`.

`name`:

a character string with name of the distribution.

## Methods

show

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

plot

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

summary

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

mean

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

sd

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

## Note

See `makeSECdistr` for a detailed description of `family` and `dp`.

Unlike various other packages, methods `mean` and `sd` here are not targeted to data or to a fitted model, but to a probability distribution instead, of which they provide the mean value and the standard deviation. If these methods are applied to a distribution of which the mean or the variance do not exist, a `NULL` value is returned and a warning message is issued.

## Author(s)

`SECdistrMv`, `plot,SECdistrUv-method`, `summary,SECdistrUv-method`, `extractSECdistr`
 ```1 2 3 4 5 6 7 8``` ```f2 <- makeSECdistr(dp=c(3, 5, -pi, 6), family="ST", name="My first ST") show(f2) plot(f2) plot(f2, probs=c(1,5,9)/10) plot(f2, range=c(-30,10), probs=NULL, col=2, main=NULL) summary(f2) mean(f2) # the mean value of the probability distribution sd(f2) # the standard deviation of the distribution ```