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.

### 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`

[Package INLA version 18.07.12 Index]