R: Control variables in control.group

control.group {INLA}

R Documentation

Control variables in control.group

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', 'exchangablepos', 'ar1', 'ar', 'rw1', 'rw2', 'besag', or 'iid')
`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 `TRUE`)
`adjust.for.con.comp`	Adjust for connected components when `scale.model=TRUE`? (default `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.

Control variables in control.group

Description

Usage

Arguments

Value

See Also