control.expert {INLA} | R Documentation

## control.expert

### 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.expert(
      cpo.manual = FALSE,
      cpo.idx = -1,
      disable.gaussian.check = FALSE,
      jp = NULL,
      dot.product.gain = FALSE,
      globalconstr = list(A = NULL, e = NULL),
      opt.solve = FALSE
    )

    inla.set.control.expert.default(...)

### Arguments

`cpo.manual` | A boolean variable to decide if the inla-program is to be runned in a manual-cpo-mode. (EXPERT OPTION: DO NOT USE)
`cpo.idx` | The index/indices of the data point(s) to remove. (EXPERIMENTAL OPTION: DO NOT USE)
`disable.gaussian.check` | Disable the check for fast computations with a Gaussian likelihood and identity link (default `FALSE`)
`jp` | An object of class `inla.jp` defining a joint prior
`dot.product.gain` | Output the gain in optimizing dot-products? (Default `FALSE`)
`globalconstr` | Add a global constraint (see `?f` and argument `extraconstr`). Note that a global constraint does NOT correct the normalisation constant. (EXPERIMENTAL OPTION)
`opt.solve` | Store also `L^T` to optimize linear solves (TAUCS only). (EXPERIMENTAL OPTION: DO NOT USE)
`...` | Named arguments passed on to the main function

### See Also

Other control: `control.bgev()`, `control.compute()`, `control.family()`, `control.fixed()`, `control.gcpo()`, `control.group()`, `control.hazard()`, `control.inla()`, `control.lincomb()`, `control.link()`, `control.lp.scale()`, `control.mix()`, `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 25.06.07 Index]