SUNdistr-class function

Class "SUNdistr" and its methods

Class "SUNdistr" and its methods

A class of objects representing Unified Skew-Normal (SUN ) distributions. 1.1

class

UTF-8

Objects from the class

Objects can be created by a call to the function makeSUNdistr

or by a suitable transformation of some object of this class.

Slots

  • dp:: a list of parameters of length five, as described in SUNdistr-base

  • 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.

  • HcompNames: a vector of character strings with the names of the hidden variables.

Methods

  • show: signature(object = "SUNdistr-class"): ...
  • plot: signature(x = "SUNdistr-class"): ...
  • summary: signature(object = "SUNdistr-class"): ...
  • mean: signature(x = "SUNdistr"): ...
  • vcov: signature(object = "SUNdistr"): ...

Details

See SUNdistr-base for a description of the required structure of dp.

Note that here the methods mean and vcov are not applied to data or to a fitted model, but to a probability distribution, of which they provide the mean (expected) value and the variance-covariance matrix.

The object of this class follow the S4 protocol.

Author(s)

Adelchi Azzalini

See Also

plot,SUNdistr-method, \quad

summary,SUNdistr-method, \quad

affineTransSUNdistr, marginalSUNdistr

convertSN2SUNdistr to convert a SECdistr object with family "SN" or "ESN" to the equivalent SUNdistr-class

object

Examples

xi <- c(1, 0, -1) Omega <- matrix(c(2,1,1, 1,3,1, 1,1,4), 3, 3) Delta <- matrix(c(0.72,0.20, 0.51,0.42, 0.88, 0.94), 3, 2, byrow=TRUE) Gamma <- matrix(c(1, 0.8, 0.8, 1), 2, 2) dp3 <- list(xi=xi, Omega=Omega, Delta=Delta, tau=c(-0.5, 0), Gamma=Gamma) sun3 <- makeSUNdistr(dp=dp3, name="firstSUN", compNames=c("x", "w", "z")) show(sun3) plot(sun3) mean(sun3) # the mean value of the probability distribution vcov(sun3) # the variance-covariance matrix of the probability distribution summary(sun3) # a more detailed summary