control.group: Control variables in control.group

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

Description

Control variables in control.group for use in inla

Usage

inla.set.control.group.default(...)
control.group(adjust.for.con.comp, cyclic, fixed, graph, hyper, initial, model, order, param, prior, scale.model)

Arguments

...	Possible arguments
model	Group model (one of 'exchangable', 'ar1', 'ar', 'rw1', 'rw2', 'besag', or 'I')
order	Defines the order of the model: for model ar this defines the order p, in AR(p). Not used for other models at the time being.
cyclic	Make the group model cyclic? (Only applies to models 'ar1', 'rw1' and 'rw2')
graph	The graph spesification (Only applies to model 'besag')
scale.model	Scale the intrinsic model (RW1, RW2, BESAG) so the generalized variance is 1. (Default inla.getOption("scale.model.default").)
adjust.for.con.comp	Adjust for connected components when scale.model=TRUE?
hyper	Definition of the hyperparameter(s)
initial	(OBSOLETE!) The initial value for the group correlation or precision in the internal scale.
fixed	(OBSOLETE!) A boolean variable if the group correction or precision is assumed to be fixed or random.
prior	(OBSOLETE!) The name of the prior distribution for the group correlation or precision in the internal scale
param	(OBSOLETE!) Prior parameters

Value

The function control.group is used to TAB-complete arguments and returns a list of given arguments. The function inla.set.control.group.default returns a list with all the default values of all parameters within this control statement.

See Also

control.update, control.lincomb, control.group, control.mix, control.link, control.expert, control.compute, control.family, control.fixed, control.inla, control.predictor, control.results, control.mode, control.hazard, inla

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