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