pc-gamma: Utility functions for the PC prior for 'Gamma(1/a, 1/a)'

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 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 [e-mail]

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)
 

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