zzz-mvstnorm | R Documentation |
Obsolete Functions: Alternative multivariate distribution and parameter estimation functions for the skew normal and skew Student-t distribution functions.
dmvsnorm(x, dim=2, mu=rep(0, dim), Omega=diag(dim), alpha=rep(0, dim))
pmvsnorm(q, dim=2, mu=rep(0, dim), Omega=diag(dim), alpha=rep(0, dim))
rmvsnorm(n, dim=2, mu=rep(0, dim), Omega=diag(dim), alpha=rep(0, dim))
dmvst(x, dim=2, mu=rep(0, dim), Omega=diag(dim), alpha=rep(0, dim), df=4)
pmvst(q, dim=2, mu=rep(0, dim), Omega=diag(dim), alpha=rep(0, dim), df=4)
rmvst(n, dim=2, mu=rep(0, dim), Omega=diag(dim), alpha=rep(0, dim), df=4)
mvFit(x, method = c("snorm", "st"), fixed.df = NA,
title = NULL, description = NULL, trace = FALSE)
x, q |
the vector of quantiles, a matrix with "dim" columns. |
n |
the number of desired observations. |
dim |
the dimension, by default the bivariate case is considered
where |
mu, Omega, alpha, df |
|
method |
selects the type of distribution function, either |
fixed.df |
set to a positive value to keep fixed the parameter |
title |
an optional project title. |
description |
an option project desctiption. |
trace |
a logical, should the estimation be traced? |
The former implementations have been replaced by wrpper functions
calling functions from the package "sn"
.
dm*
gives the density, pm*
gives the distribution
function, and rm*
generates n
random deviates of
dimension dim
mvFit
returns an object of class fDISTFEED
, see
package fBasics
.
## Not run:
## Load Libray:
require(mvtnorm)
## [dr]mvsnorm -
dmvsnorm(rnorm2d(100))
rmvsnorm(100)
## [dr]mvst -
dmvst(rt2d(100))
rmvst(100)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.