link-functions: Link functions in INLA

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

Description

Define link-functions and its inverse

Usage

 inla.link.log(x, inverse=FALSE)
 inla.link.invlog(x, inverse=FALSE)
 inla.link.neglog(x, inverse=FALSE)
 inla.link.invneglog(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.loglog(x, inverse=FALSE)
 inla.link.invloglog(x, inverse=FALSE)
 inla.link.tan(x, inverse=FALSE)
 inla.link.invtan(x, inverse=FALSE)
 inla.link.cauchit(x, inverse=FALSE)
 inla.link.invcauchit(x, inverse=FALSE)
 inla.link.identity(x, inverse=FALSE)
 inla.link.invidentity(x, inverse=FALSE)
 inla.link.inverse(x, inverse=FALSE)
 inla.link.invinverse(x, inverse=FALSE)
 inla.link.robit(x, df=7, inverse=FALSE)
 inla.link.invrobit(x, df=7, inverse=FALSE)
 inla.link.invalid(x, inverse=FALSE)
 inla.link.invinvalid(x, inverse=FALSE)
 

Arguments

x	The argument. A numeric vector.
df	The degrees of freedom for the Student-t
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]

INBO-BMK/INLA documentation built on Dec. 4, 2019, 11:43 p.m.