pc.alphaw {INLA} | R Documentation

## Utility functions for the PC prior for the `alpha` parameter in the Weibull likelihood

### Description

Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for the `alpha` parameter in the Weibull likelihood

### Usage

    inla.pc.ralphaw(n, lambda = 5)

    inla.pc.dalphaw(alpha, lambda = 5, log = FALSE)

    inla.pc.qalphaw(p, lambda = 5)

    inla.pc.palphaw(q, lambda = 5)

### Arguments

`n` | Number of observations
`lambda` | The rate parameter in the PC-prior
`alpha` | Vector of evaluation points, where `alpha>0`.
`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 `alpha` parameter for the Weibull likelihood, where `alpha=1` is the base model.

### Value

`inla.pc.dalphaw` gives the density, `inla.pc.palphaw` gives the distribution function, `inla.pc.qalphaw` gives the quantile function, and `inla.pc.ralphaw` generates random deviates.

### Author(s)

Havard Rue hrue@r-inla.org

### See Also

inla.doc("pc.alphaw")

### Examples

     x = inla.pc.ralphaw(100,  lambda = 5)
     d = inla.pc.dalphaw(x, lambda = 5)
     x = inla.pc.qalphaw(0.5, lambda = 5)
     inla.pc.palphaw(x, lambda = 5)

[Package INLA version 26.08.22 Index]