dsn(x, location=0, scale=1, shape=0, log=FALSE)
dsn(x, dp=, log=FALSE)
psn(x, location=0, scale=1, shape=0, ...)
psn(x, dp=, log=FALSE)
qsn(p, location=0, scale=1, shape=0, tol=1e-8, ...)
qsn(x, dp=, log=FALSE)
rsn(n=1, location=0, scale=1, shape=0)
rsn(x, dp=, log=FALSE)NAs) and Inf's
are allowed.NAs) are allowed.psn and qsn, it must be of length 1.dp is specified, this overrides the specification
of the other parameters.qsn.dsn (default FALSE).
When TRUE, the logarithm of the density values is returned.T.Owendsn), probability (psn),
quantile (qsn) or random sample (rsn)
from the skew-normal distribution with given location, scale
and shape parameters.shape parameter which regulates
skewness; when shape=0, the skew-normal distribution reduces to the
normal one. The density of the SN distribution in the "standard" case
having location=0 and scale=1 is
2*dnorm(x)*pnorm(shape*x).
A multivariate version of the distribution exists.
See the references below for additional information.psn and qsn make use of function T.OwenAzzalini, A. and Dalla Valle, A. (1996). The multivariate skew-normal distribution. Biometrika 83, 715--726.
T.Owen, dmsn, dstpdf <- dsn(seq(-3,3,by=0.1), shape=3)
cdf <- psn(seq(-3,3,by=0.1), shape=3)
qu <- qsn(seq(0.1,0.9,by=0.1), shape=-2)
rn <- rsn(100, 5, 2, 5)Run the code above in your browser using DataLab