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| sn-package | Package `sn': summary information |
| ais | Australian Institute of Sport data |
| 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 |
| frontier | Simulated sample from a skew-normal distribution |
| gamma1.to.lambda | Converts skewness to shape parameter of skew-normal distribution |
| msn.affine | Affine transformation 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.affine | Affine transformation a multivariate skew-normal or skew-t variable |
| mst.fit | Fitting multivariate skew-t distributions |
| mst.mle | Maximum likelihood estimation for a (multivariate) skew-t distribution |
| pmsn | Multivariate skew-normal distribution |
| pmst | Multivariate skew-t distribution |
| psn | Skew-Normal Distribution |
| pst | Skew-t Distribution |
| qsn | Skew-Normal Distribution |
| qst | Skew-t Distribution |
| rmsn | Multivariate skew-normal distribution |
| rmst | Multivariate skew-t distribution |
| rsn | Skew-Normal Distribution |
| rst | Skew-t Distribution |
| sample.centralmoments | Sample centralmoments |
| SN | Package `sn': summary information |
| sn.2logL.profile | Profile twice loglikelihood for skew-normal models |
| sn.cumulants | Cumulants of the skew-normal distribution |
| sn.Einfo | Expected Fisher information for SN distribution parameters |
| 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 | Profile twice loglikelihood for skew-t models |
| st.cumulants | Cumulants of the skew-t distribution |
| st.mle | Maximum likelihood estimation for a (multivariate) skew-t distribution |
| st.mle.grouped | Maximum likelihood estimation of SN and ST distribution for grouped data |
| st.mmle | Modified maximum likelihood estimation for skew-normal ans skew-t models |
| T.Owen | Owen's function |
| zeta | Function `log(2*pnorm(x))' and its derivatives |