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)
NA
s) and Inf
's
are allowed.NA
s) 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.Owen
dsn
), 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.Owen
Azzalini, A. and Dalla Valle, A. (1996). The multivariate skew-normal distribution. Biometrika 83, 715--726.
T.Owen
, dmsn
, dst
pdf <- 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)
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