pc.gamma {INLA} | R Documentation

## Utility functions for the PC prior for `Gamma(1/a, 1/a)`

### Description

Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for `Gamma(1/a, 1/a)`

### Usage

     inla.pc.rgamma(n, lambda = 1)
     inla.pc.dgamma(x, lambda = 1, log = FALSE)
     inla.pc.qgamma(p, lambda = 1)
     inla.pc.pgamma(q, lambda = 1)

### Arguments

`n` | Number of observations
`lambda` | The rate parameter (see Details)
`x` | Evaluation points
`log` | Logical. Return the density in natural or log-scale.
`p` | Vector of probabilities
`q` | Vector of quantiles

### Details

This gives the PC prior for the `Gamma(1/a, 1/a)` case, where `a=0` is the base model.

### Value

`inla.pc.dgamma` gives the density, `inla.pc.pgamma` gives the distribution function, `inla.pc.qgamma` gives the quantile function, and `inla.pc.rgamma` generates random deviates.

### Author(s)

Havard Rue hrue@r-inla.org

### See Also

inla.doc("pc.gamma")

### Examples

     x = inla.pc.rgamma(100,  lambda = 1)
     d = inla.pc.dgamma(x, lambda = 1)
     x = inla.pc.qgamma(0.5, lambda = 1)
     inla.pc.pgamma(x, lambda = 1)

[Package INLA version 18.07.12 Index]