control.mix {INLA} | R Documentation

## control.mix

### Description

Control variables in `⁠control.*⁠` for use with `inla()`. The functions can be used to TAB-complete arguments, and returns a list of the default control arguments, unless overridden by specific input arguments.

### Usage

    control.mix(
      model = NULL,
      hyper = NULL,
      initial = NULL,
      fixed = NULL,
      prior = NULL,
      param = NULL,
      npoints = 101,
      integrator = "default"
    )

    inla.set.control.mix.default(...)

### Arguments

`model` | The model for the random effect. Currently, only `model='gaussian'` is implemented
`hyper` | Definition of the hyperparameter(s) for the random effect model chosen
`initial` | (OBSOLETE!) The initial value(s) for the hyperparameter(s)
`fixed` | (OBSOLETE!) A boolean variable if hyperparmater(s) is/are fixed or random
`prior` | (OBSOLETE!) The name of the prior distribution(s) for the hyperparmater(s)
`param` | (OBSOLETE!) The parameters for the prior distribution(s) for the hyperparmater(s)
`npoints` | Number of points used to do the numerical integration (default 101)
`integrator` | The integration scheme to use (`default`, `quadrature`, `simpson`)
`...` | Named arguments passed on to the main function

### Details

The `control.mix` list is set within the corresponding `control.family`-list a the mixture of the likelihood is likelihood specific. (This option is EXPERIMENTAL.)

### See Also

Other control: `control.bgev()`, `control.compute()`, `control.expert()`, `control.family()`, `control.fixed()`, `control.gcpo()`, `control.group()`, `control.hazard()`, `control.inla()`, `control.lincomb()`, `control.link()`, `control.lp.scale()`, `control.mode()`, `control.numa()`, `control.pardiso()`, `control.pom()`, `control.predictor()`, `control.scopy()`, `control.sem()`, `control.stiles()`, `control.taucs()`, `control.update()`, `control.vb()`

[Package INLA version 26.02.05 Index]