link-functions: Link functions in INLA

In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Description

Define link-functions and its inverse

Usage

 inla.link.log(x, inverse=FALSE)
 inla.link.invlog(x, inverse=FALSE)
 inla.link.logit(x, inverse=FALSE)
 inla.link.invlogit(x, inverse=FALSE)
 inla.link.probit(x, inverse=FALSE)
 inla.link.invprobit(x, inverse=FALSE)
 inla.link.cloglog(x, inverse=FALSE)
 inla.link.invcloglog(x, inverse=FALSE)
 inla.link.tan(x, inverse=FALSE)
 inla.link.invtan(x, inverse=FALSE)
 inla.link.identity(x, inverse=FALSE)
 inla.link.invidentity(x, inverse=FALSE)
 inla.link.invalid(x, inverse=FALSE)
 inla.link.invinvalid(x, inverse=FALSE)
 

Arguments

x	The argument. A numeric vector.
inverse	Logical. Use the link (inverse=FALSE) or its inverse (inverse=TRUE)

Value

Return the values of the link-function or its inverse.

Note

The inv-functions are redundant, as inla.link.invlog(x) = inla.link.log(x, inverse=TRUE) and so on, but they are simpler to use a arguments to other functions.

Author(s)

Havard Rue [e-mail]

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.