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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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Install
install.packages('sn')
Monthly Downloads
13,214
Version
0.22.1
License
GPL Version 2 or later.
Maintainer
Adelchi Azzalini
Last Published
April 4th, 2023
Functions in sn (0.22.1)
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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