skewnorm {LaMa} | R Documentation |
Skew normal distribution
Description
Density, distribution function, quantile function and random generation for the skew normal distribution.
Usage
dskewnorm(x, xi = 0, omega = 1, alpha = 0, log = FALSE)
pskewnorm(q, xi = 0, omega = 1, alpha = 0, ...)
qskewnorm(p, xi = 0, omega = 1, alpha = 0, ...)
rskewnorm(n, xi = 0, omega = 1, alpha = 0)
Arguments
x , q |
vector of quantiles |
xi |
location parameter |
omega |
scale parameter, must be positive. |
alpha |
skewness parameter, +/- |
log |
logical; if |
... |
additional parameters to be passed to the |
p |
vector of probabilities |
n |
number of observations. If |
Details
This implementation of dskewnorm
allows for automatic differentiation with RTMB
while the other functions are imported from the sn
package.
Value
dskewnorm
gives the density, pskewnorm
gives the distribution function, qskewnorm
gives the quantile function, and rskewnorm
generates random deviates.
Examples
x = rskewnorm(1)
d = dskewnorm(x)
p = pskewnorm(x)
q = qskewnorm(p)