pc-gammacount: Utility functions for the PC prior for the 'gammacount'...

In inbo/INLA: Full Bayesian Analysis of Latent Gaussian Models using Integrated Nested Laplace Approximations

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 [e-mail]

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)
 

inbo/INLA documentation built on Dec. 6, 2019, 9:51 a.m.