control.mix: Control variables in control.mix

In inbo/INLA: Full Bayesian Analysis of Latent Gaussian Models using Integrated Nested Laplace Approximations

Description

Control variables in control.mix for use in inla

Usage

inla.set.control.mix.default(...)
control.mix(fixed, hyper, initial, integrator, model, npoints, param, prior)

Arguments

...	Possible 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)

Value

The control.mix -list is set within the corresponding control.family-list a the mixture of the likelihood is likelihood spesific. (This option is EXPERIMENTAL.) The function control.mix is used to TAB-complete arguments and returns a list of given arguments. The function inla.set.control.mix.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.gev2.default, control.family, control.fixed, control.inla, control.predictor, control.results, control.mode, control.hazard, inla

inbo/INLA documentation built on Dec. 6, 2019, 9:51 a.m.