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 25.10.19 Index]