Density, distribution function, and random generation for the
skew-normal distribution with mean `mu`

,
standard deviation `sigma`

, and skewness `alpha`

.

```
dskew_normal(
x,
mu = 0,
sigma = 1,
alpha = 0,
xi = NULL,
omega = NULL,
log = FALSE
)
pskew_normal(
q,
mu = 0,
sigma = 1,
alpha = 0,
xi = NULL,
omega = NULL,
lower.tail = TRUE,
log.p = FALSE
)
qskew_normal(
p,
mu = 0,
sigma = 1,
alpha = 0,
xi = NULL,
omega = NULL,
lower.tail = TRUE,
log.p = FALSE,
tol = 1e-08
)
rskew_normal(n, mu = 0, sigma = 1, alpha = 0, xi = NULL, omega = NULL)
```

- x, q
Vector of quantiles.

- mu
Vector of mean values.

- sigma
Vector of standard deviation values.

- alpha
Vector of skewness values.

- xi
Optional vector of location values. If

`NULL`

(the default), will be computed internally.- omega
Optional vector of scale values. If

`NULL`

(the default), will be computed internally.- log
Logical; If

`TRUE`

, values are returned on the log scale.- lower.tail
Logical; If

`TRUE`

(default), return P(X <= x). Else, return P(X > x) .- log.p
Logical; If

`TRUE`

, values are returned on the log scale.- p
Vector of probabilities.

- tol
Tolerance of the approximation used in the computation of quantiles.

- n
Number of draws to sample from the distribution.

See `vignette("brms_families")`

for details
on the parameterization.