SN                      Package 'sn': summary information
T.Owen                  Owen's function
ais                     Australian Institute of Sport data
cp.to.dp                Conversion between equivalent parametrizations
dmsn                    Multivariate skew-normal distribution
dmst                    Multivariate skew-t distribution
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
frontier                Simulated sample from a skew-normal
                        distribution
gamma1.to.lambda        Converts skewness to shape parameter of
                        skew-normal distribution
msn.affine              Affine transformation of a multivariate
                        skew-normal or skew-t variable
msn.cond.plot           Plot of the density of a conditional
                        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 components 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.fit                 Fitting multivariate skew-t distributions
mst.mle                 Maximum likelihood estimation for a
                        (multivariate) skew-t distribution
sample.centralmoments   Sample centralmoments
sn.2logL.profile        Twice profile relative negative loglikelihood
                        for skew-normal models
sn.Einfo                Expected Fisher information for SN distribution
                        parameters
sn.cumulants            Cumulants of the skew-normal distribution
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 of SN and ST
                        distribution for grouped data
sn.mmle                 Modified maximum likelihood estimation for
                        skew-normal ans skew-t models
st.2logL.profile        Twice profile relative negative loglikelihood
                        for skew-t models
st.cumulants            Cumulants of the skew-t distribution
zeta                    Function 'log(2*pnorm(x))' and its derivatives
