https://github.com/cran/sn
Revision 1257745174d0722df6a1825b16e7f931f9ec6533 authored by Adelchi Azzalini on 30 June 2002, 00:00:00 UTC, committed by Gabor Csardi on 30 June 2002, 00:00:00 UTC
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Tip revision: 1257745174d0722df6a1825b16e7f931f9ec6533 authored by Adelchi Azzalini on 30 June 2002, 00:00:00 UTC
version 0.30
Tip revision: 1257745
INDEX
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.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.dev                 Deviance for multivariate skew-normal
                        distributions 
msn.dev.grad            Gradient of the deviance for multivariate
                        skew-normal distributions 
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.moment.fit          Fitting multivariate skew-normal distributions
                        with method of moments 
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 
num.deriv               Numerical derivatives 
pnorm2                  Bivariate normal integral 
sn-internal             Internal sn functions
sn.2logL.profile        Profile twice loglikelihood for skew-normal
                        models 
SN                      The library `sn': summary information 
sn.cumulants            Cumulants of the skew-normal distribution 
sn.dev                  Deviance for skew-normal distributions 
sn.dev.gh               Derivatives of deviance for skew-normal
                        distributions 
sn.em                   Fitting Skew-normal variables using the EM
                        algorithm 
sn.mle                  Maximum likelihood estimation for skew-normal
                        models 
st.2logL.profile        Profile twice loglikelihood for skew-t models 
zeta                    Function `log(2*P(x))' and its derivatives 
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