![[R logo]](../../../doc/html/logo.jpg)
| ais | Australian Institute of Sport data |
| cp.to.dp | Conversion between equivalent parametrizations |
| dmsn | Multivariate skew-normal distribution |
| dp.to.cp | Conversion between equivalent parametrizations |
| dsn | Skew-Normal Distribution |
| frontier | Simulated sample from a skew-normal distribution |
| gamma1.to.lambda | Converts skewness to shape parameter of skew-normal distribution |
| 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 compontents 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. |
| num.deriv | Numerical derivatives |
| plot.dsn2 | Plot of Bivariate Skew-Normal Distribution |
| plot.msn.cond | Plot of the density of a conditional skew-normal variate |
| pnorm2 | Bivariate normal integral |
| psn | Skew-Normal Distribution |
| qsn | Skew-Normal Distribution |
| rmsn | Multivariate skew-normal distribution |
| rsn | Skew-Normal Distribution |
| SN | The library `sn': summary information |
| sn.2logL.profile | Profile twice loglikelihood for skew-normal models |
| 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 |
| T.Owen | Owen's function |
| zeta | Function `log(2*P(x))' and its derivatives |