https://github.com/cran/sn
Tip revision: 4d028ba2211e27c98228c62d20a35ff854d1c128 authored by Adelchi Azzalini on 07 April 2005, 00:00:00 UTC
version 0.33
version 0.33
Tip revision: 4d028ba
INDEX
Overview:
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SN the library `sn': summary information
Functions:
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cp.to.dp conversion between equivalent parametrizations
dmsn multivariate skew-normal distribution
dmst multivariate skew-t distribution
dp.to.cp conversion between equivalent parametrizations
dsn skew-Normal distribution
dst skew-t distribution
gamma1.to.lambda converts skewness to shape parameter of skew-
normal distribution
msn.affine affine trasnformation of a multivariate skew-normal
variate
msn.conditional cumulants and distribution of a skew-normal
variate after conditioning
msn.fit fitting multivariate skew-normal distributions
msn.marginal marginal compontents of a multivariate skew-
normal distribution
msn.mle maximum likelihood estimation for a multivariate
skew-normal distribution
msn.quantities quantities related to the multivariate skew-
normal distribution.
msn.cond.plot plot of the density of a conditional skew-normal
variate
mst.fit fitting multivariate skew-t distributions
mst.mle maximum likelihood estimation for a multivariate
skew-t distribution
pnorm2 bivariate normal integral
sn.2logL.profile profile twice loglikelihood for skew-normal
models
sn.cumulants cumulants of the skew-normal distribution
sn.Einfo expected Fisher information for skew-normal
distributions and regression models
sn.em fitting skew-normal variables using the EM algorithm
sn.mle maximum likelihood estimation for skew-normal models
sn.mmle modified MLE for skew-normal models
sn.mle.grouped maximum likelihood estimation for skew-normal
grouped data
st.2logL.profile profile twice loglikelihood for skew-normal models
st.cumulants cumulants of skew-t distribution
st.mle maximum likelihood estimation for skew-t models
st.mle.grouped maximum likelihood estimation for skew-t grouped data
T.Owen Owen's function
zeta function `log(2*pnorm(x))' and its derivatives
datasets:
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ais Australian Institute of Sport data
frontier simulated sample from a skew-normal distribution