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sn (version 1.1-0)

The skew-normal and skew-t distributions

Description

Define and manipulate probability distributions of the skew-normal family and some related ones (notably the skew-t family) and provide related statistical methods for data fitting and diagnostics, in the univariate and the multivariate case.

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Version

Install

install.packages('sn')

Monthly Downloads

22,931

Version

1.1-0

License

GPL-2 | GPL-3

Maintainer

Adelchi Azzalini

Last Published

August 4th, 2014

Functions in sn (1.1-0)

summary.SECdistrMv-class

Classes summary.SECdistrMv and summary.SECdistrUv

Package sn: overview

SECdistrMv-class

Class "SECdistrMv"

Piedmont wines data

Owen's function

SECdistrUv-class

Class "SECdistrUv"

Summarizing selm fits

Penalty function for log-likelihood of selm models

Conversion between parametrizations of a skew-elliptical distribution

Fitting linear models with skew-elliptical error term

Fitting functions for selm models

summary.SECdistr

Summary of a SEC distribution object

Australian Institute of Sport data

Skew-Normal Distribution

sn-st.cumulants

Cumulants of univariate skew-normal and skew-$t$ distributions

Multivariate skew-$t$ distribution and skew-Cauchy distribution

conditionalSECdistr

Skew-normal conditional distribution

Price of Barolo wine

affineTransSECdistr

Affine transformations and marginals of a skew-elliptical distribution

Plotting methods for classes SECdistrUv and SECdistrMv

Classes "selm" and "mselm" of objects created by function selm

Skew-Cauchy Distribution

Skew-$t$ Distribution

Expected and observed Fisher information for SN and ST distributions

Simulated sample from a skew-normal distribution

Function `log(2*pnorm(x))' and its derivatives

Build a skew-elliptically contoured distribution

Diagnostic plots for selm fits

Multivariate skew-normal distribution