pc.sn {INLA} | R Documentation

## Utility functions for the PC prior for `skewness` in the skew-normal linkfunction and likelihood

### Description

Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for the `skewness` in the skew-normal link-function and likelihood

### Usage

    inla.pc.rsn(n, lambda = 40)

    inla.pc.dsn(skew, lambda = 40, log = FALSE)

    inla.pc.qsn(p, lambda = 40)

    inla.pc.psn(q, lambda = 40)

### Arguments

`n` | number of observations
`lambda` | the rate parameter in the PC prior
`skew` | vector of evaluation points
`log` | logical. return the density in natural or log-scale.
`p` | vector of probabilities
`q` | vector of quantiles

### Details

Defines the PC prior for the `skewness` for the skew-normal linkfunction and likelihood, where `skew=0` is the base model. The skewness range from -0.99527... to 0.99527.... ca.

### Value

`inla.pc.dsn` gives the density, `inla.pc.psn` gives the distribution function, `inla.pc.qsn` gives the quantile function, and `inla.pc.rsn` generates random deviates.

### Author(s)

Havard Rue hrue@r-inla.org

### See Also

inla.doc("pc.sn")

### Examples

     x = inla.pc.rsn(100,  lambda = 40)
     d = inla.pc.dsn(x, lambda = 40)
     x = inla.pc.qsn(0.5, lambda = 40)
     inla.pc.psn(x, lambda = 40)

[Package INLA version 26.08.22 Index]