RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (2.1.1) of this package.
Take me there.
sn (version 0.4-8)
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 in the multivariate case.
Copy Link
Copy
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
Down Chevron
Install
install.packages('sn')
Monthly Downloads
15,194
Version
0.4-8
License
GPL-2
Maintainer
Adelchi Azzalini
Last Published
November 19th, 2008
Functions in sn (0.4-8)
Search functions
sn.mmle
Modified maximum likelihood estimation for skew-normal ans skew-t models
sn.2logL.profile
Profile twice loglikelihood for skew-normal models
ais
Australian Institute of Sport data
sn.em
Fitting Skew-normal variables using the EM algorithm
SN
Package `sn': summary information
sn.mle.grouped
Maximum likelihood estimation of SN and ST distribution for grouped data
st.2logL.profile
Profile twice loglikelihood for skew-t models
msn.fit
Fitting multivariate skew-normal distributions
sn.mle
Maximum likelihood estimation for skew-normal models
sn.Einfo
Expected Fisher information for SN distribution parameters
cp.to.dp
Conversion between equivalent parametrizations
dst2.plot
Plot of bivariate skew-t density function
sn.cumulants
Cumulants of the skew-normal distribution
msn.conditional
Cumulants and distribution of a skew-normal variate after conditioning
st.cumulants
Cumulants of the skew-t distribution
dmst
Multivariate skew-t distribution
mst.fit
Fitting multivariate skew-t distributions
T.Owen
Owen's function
dmsn
Multivariate skew-normal distribution
dst
Skew-t Distribution
msn.quantities
Quantities related to the multivariate skew-normal distribution.
sample.centralmoments
Sample centralmoments
mst.mle
Maximum likelihood estimation for a (multivariate) skew-t distribution
frontier
Simulated sample from a skew-normal distribution
msn.marginal
Marginal components of a multivariate skew-normal distribution
gamma1.to.lambda
Converts skewness to shape parameter of skew-normal distribution
dsn
Skew-Normal Distribution
msn.cond.plot
Plot of the density of a conditional skew-normal variate
msn.affine
Affine transformation of a multivariate skew-normal or skew-t variable
sn-internal
Internal sn functions
msn.mle
Maximum likelihood estimation for a multivariate skew-normal distribution
dsn2.plot
Plot of Bivariate Skew-normal Density Function
zeta
Function `log(2*pnorm(x))' and its derivatives