Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (2.1.1) of this package.
Take me there.
sn (version 0.30)
The skew-normal and skew-t distributions
Description
Functions for manipulating skew-normal and skew-t probability distributions, and for fitting them to data, in the scalar and the multivariate case.
Copy Link
Link to current version
Version
Version
2.1.1
2.1.0
2.0.2
2.0.1
2.0.0
1.6-2
1.6-1
1.6-0
1.5-5
1.5-4
1.5-3
1.5-2
1.5-1
1.5-0
1.4-0
1.3-0
1.2-4
1.2-3
1.2-2
1.2-1
1.2-0
1.1-2
1.1-1
1.1-0
1.0-0
0.33
0.32-2
0.32-1
0.30
0.22-2
0.22.1
0.4-18
0.4-17
0.4-16
0.4-15
0.4-14
0.4-12
0.4-11
0.4-10
0.4-8
0.4-6
0.4-5
0.4-4
0.4-3
0.4-2
0.4-1
0.4-0
0.3-5
Install
install.packages('sn')
Monthly Downloads
13,214
Version
0.30
License
GPL Version 2 or later.
Maintainer
Adelchi Azzalini
Last Published
April 4th, 2023
Functions in sn (0.30)
Search all functions
T.Owen
Owen's function
msn.fit
Fitting multivariate skew-normal distributions
sn.2logL.profile
Profile twice loglikelihood for skew-normal models
msn.dev.grad
Gradient of the deviance for multivariate skew-normal distributions
num.deriv
Numerical derivatives
sn.em
Fitting Skew-normal variables using the EM algorithm
dsn2.plot
Plot of Bivariate Skew-normal Density Function
ais
Australian Institute of Sport data
sn.mle
Maximum likelihood estimation for skew-normal models
msn.cond.plot
Plot of the density of a conditional skew-normal variate
dmsn
Multivariate skew-normal distribution
SN
The library `sn': summary information
sn.cumulants
Cumulants of the skew-normal distribution
frontier
Simulated sample from a skew-normal distribution
sn.dev
Deviance for skew-normal distributions
msn.quantities
Quantities related to the multivariate skew-normal distribution.
msn.dev
Deviance for multivariate skew-normal distributions
dmst
Multivariate skew-t distribution
gamma1.to.lambda
Converts skewness to shape parameter of skew-normal distribution
dst
Skew-t Distribution
msn.marginal
Marginal components of a multivariate skew-normal distribution
mst.fit
Fitting multivariate skew-t distributions
msn.mle
Maximum likelihood estimation for a multivariate skew-normal distribution
dst2.plot
Plot of Bivariate Skew-t Density Function
dsn
Skew-Normal Distribution
st.2logL.profile
Profile twice loglikelihood for skew-t models
cp.to.dp
Conversion between equivalent parametrizations
sn-internal
Internal sn functions
zeta
Function `log(2*P(x))' and its derivatives
msn.conditional
Cumulants and distribution of a skew-normal variate after conditioning
msn.moment.fit
Fitting multivariate skew-normal distributions with method of moments
sn.dev.gh
Derivatives of deviance for skew-normal distributions
pnorm2
Bivariate normal integral
mst.mle
Maximum likelihood estimation for a (multivariate) skew-t distribution