control.fixed {INLA} | R Documentation

## Control variables in control.fixed

### Description

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

### Usage

    inla.set.control.fixed.default(...)
    control.fixed(cdf, compute, correlation.matrix, expand.factor.strategy, mean, mean.intercept, prec, prec.intercept, quantiles)

### Arguments

`...` | Possible arguments
`cdf` | A list of values to compute the CDF for, for all fixed effects
`quantiles` | A list of quantiles to compute for all fixed effects
`expand.factor.strategy` | The strategy used to expand factors into fixed effects based on their levels. The default strategy is us use the `model.matrix`-function for which NA's are not allowed (`expand.factor.strategy="model.matrix"`) and levels are possible removed. The alternative option (`expand.factor.strategy="inla"`) use an `inla`-spesific expansion which expand a factor into one fixed effects for each level, do allow for NA's and all levels are present in the model. In this case, factors MUST BE factors in the data.frame/list and NOT added as `.+factor(x1)+.` in the formula only.
`mean` | Prior mean for all fixed effects except the intercept. Alternatively, a named list with specific means where name=default applies to unmatched names. For example `control.fixed=list(mean=list(a=1, b=2, default=0))` assign 'mean=1' to fixed effect 'a' , 'mean=2' to effect 'b' and 'mean=0' to all others. (default 0.0)
`mean.intercept` | Prior mean for the intercept (default 0.0)
`prec` | Default precision for all fixed effects except the intercept. Alternatively, a named list with specific means where name=default applies to unmatched names. For example `control.fixed=list(prec=list(a=1, b=2, default=0.01))` assign 'prec=1' to fixed effect 'a' , 'prec=2' to effect 'b' and 'prec=0.01' to all others. (default 0.001)
`prec.intercept` | Default precision the intercept (default 0.0)
`compute` | Compute marginals for the fixed effects ? (default TRUE)
`correlation.matrix` | Compute the posterior correlation matrix for all fixed effects? (default FALSE) OOPS: This option will set up appropriate linear combinations and the results are shown as the posterior correlation matrix of the linear combinations. This option will imply `control.inla=list(lincomb.derived.correlation.matrix=TRUE)`.

### Value

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