SkewNormal {brms} | R Documentation |

## The Skew-Normal Distribution

### Description

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

,
standard deviation `sigma`

, and skewness `alpha`

.

### Usage

```
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)
```

### Arguments

`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 |

`omega` |
Optional vector of scale values.
If |

`log` |
Logical; If |

`lower.tail` |
Logical; If |

`log.p` |
Logical; If |

`p` |
Vector of probabilities. |

`tol` |
Tolerance of the approximation used in the computation of quantiles. |

`n` |
Number of draws to sample from the distribution. |

### Details

See `vignette("brms_families")`

for details
on the parameterization.

*brms*version 2.21.0 Index]