control.compute {INLA} | R Documentation

## Control variables in control.compute

### Description

Control variables in `control.compute` for use in `inla`

### Usage

    inla.set.control.compute.default(...)
    control.compute(config, cpo, dic, gdensity, graph, hyperpar, mlik, openmp.strategy, po, q, return.marginals, smtp, waic)

### Arguments

`...` | Possible arguments
`openmp.strategy` | The computational strategy to use: 'small', 'medium', 'large', 'huge' and 'default'. There are also two options for the pardiso solver: 'pardiso.serial' and 'pardiso.parallel'. The difference is how the parallelisation is done, and is tuned for 'small'-sized models, 'medium'-sized models, etc. The default option tries to make an educated guess, but this allows to overide this selection. Default is 'default'
`hyperpar` | A boolean variable if the marginal for the hyperparameters should be computed. Default TRUE.
`return.marginals` | A boolean variable if the marginals for the latent field should be returned (although it is computed). Default TRUE
`dic` | A boolean variable if the DIC-value should be computed. Default FALSE.
`mlik` | A boolean variable if the marginal likelihood should be computed. Default `TRUE`.
`cpo` | A boolean variable if the cross-validated predictive measures (cpo, pit) should be computed (default `FALSE`)
`po` | A boolean variable if the predictive ordinate should be computed (default `FALSE`)
`waic` | A boolean variable if the Watanabe-Akaike information criteria should be computed (default `FALSE`)
`q` | A boolean variable if binary images of the precision matrix, the reordered precision matrix and the Cholesky triangle should be generated. (Default FALSE.)
`config` | A boolean variable if the internal GMRF approximations be stored. (Default FALSE. EXPERIMENTAL)
`smtp` | The sparse-matrix solver, one of 'default', 'taucs', 'band' or 'pardiso' (default `inla.getoption("smtp")`)
`graph` | A boolean variable if the graph itself should be returned. (Default FALSE.)
`gdensity` | A boolean variable if the Gaussian-densities itself should be returned. (Default FALSE.)

### Value

The function `control.compute` is used to TAB-complete arguments and returns a list of given arguments. The function `inla.set.control.compute.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]