File: INDEX

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r-cran-sn 0.4-4-1
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Overview:
---------
SN                     the library `sn': summary information

Functions:
----------
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
dsn2.plot              plot of bivariate skew-normal density function
dst                    skew-t distribution
dst2.plot              plot of bivariate skew-t density function
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.cond.plot          plot of the density of a conditional skew-normal
                       variate
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.
mst.affine             affine trasnformation of a multivariate skew-t variate
mst.fit                fitting multivariate skew-t distributions
mst.mle                maximum likelihood estimation for a multivariate
                       skew-t distribution
sample.centralmoments  computes sample mean and central moments
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.mle.grouped         maximum likelihood estimation for skew-normal 
                       grouped data
sn.mmle                modified MLE for skew-normal models
st.2logL.profile       profile twice loglikelihood for skew-t models
st.cumulants           cumulants of skew-t distribution
st.cumulants.inversion inverts cumulants of skew-t distribution to parameters
st.mle                 maximum likelihood estimation for skew-t models
st.mle.grouped         maximum likelihood estimation for skew-t grouped data
sn.mmle                modified MLE for skew-t models
T.Owen                 Owen's function
zeta                   function `log(2*pnorm(x))' and its derivatives


datasets:
---------
ais                    Australian Institute of Sport data
frontier               simulated sample from a skew-normal distribution