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 |