pc.gammacount {INLA} | R Documentation

## Utility functions for the PC prior for the `gammacount` likelihood

### Description

Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for the `gammacount` likelihood

### Usage

    inla.pc.rgammacount(n, lambda = 1)

    inla.pc.dgammacount(x, lambda = 1, log = FALSE)

    inla.pc.qgammacount(p, lambda = 1)

    inla.pc.pgammacount(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 `gammacount` likelihood, which is the PC prior for `a` in `Gamma(a, 1)` where `Gamma(1, 1)` is the base model.

### Value

`inla.pc.dgammacount` gives the density, `inla.pc.pgammacount` gives the distribution function, `inla.pc.qgammacount` gives the quantile function, and `inla.pc.rgammacount` generates random deviates.

### Author(s)

Havard Rue hrue@r-inla.org

### See Also

inla.doc("pc.gammacount")

### Examples

     x = inla.pc.rgammacount(100,  lambda = 1)
     d = inla.pc.dgammacount(x, lambda = 1)
     x = inla.pc.qgammacount(0.5, lambda = 1)
     inla.pc.pgammacount(x, lambda = 1)

[Package INLA version 26.08.22 Index]