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sn (version 0.22.1)

The skew-normal distribution

Description

Functions for manipulating skew-normal probability distributions and for fitting them to data, in the scalar and the multivariate case.

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Version

Install

install.packages('sn')

Monthly Downloads

22,931

Version

0.22.1

License

GPL Version 2 or later.

Maintainer

Adelchi Azzalini

Last Published

January 25th, 2026

Functions in sn (0.22.1)

msn.dev

Deviance for multivariate skew-normal distributions
sn.cumulants

cumulants of the skew-normal distribution
plot.dsn2

Plot of Bivariate Skew-Normal Distribution
frontier

Simulated sample from a skew-normal distribution
sn.mle

Maximum likelihood estimation for skew-normal models
msn.quantities

Quantities related to the multivariate skew-normal distribution.
zeta

Function `log(2*P(x))' and its derivatives
msn.dev.grad

Gradient of the deviance for multivariate skew-normal distributions
SN

The library `sn': summary information
T.Owen

Owen's function
cp.to.dp

Conversion between equivalent parametrizations
dmsn

Multivariate skew-normal distribution
msn.fit

Fitting multivariate skew-normal distributions
msn.conditional

Cumulants and distribution of a skew-normal variate after conditioning
msn.mle

Maximum likelihood estimation for a multivariate skew-normal distribution
dsn

Skew-Normal Distribution
plot.msn.cond

Plot of the density of a conditional skew-normal variate
sn.2logL.profile

Profile twice loglikelihood for skew-normal models
ais

Australian Institute of Sport data
sn.dev.gh

Derivatives of deviance for skew-normal distributions
sn.em

Fitting Skew-normal variables using the EM algorithm
sn.dev

Deviance for skew-normal distributions
pnorm2

Bivariate normal integral
gamma1.to.lambda

Converts skewness to shape parameter of skew-normal distribution
num.deriv

Numerical derivatives
msn.moment.fit

Fitting multivariate skew-normal distributions with method of moments
msn.marginal

Marginal compontents of a multivariate skew-normal distribution