control.expert: Control variables in control.expert

In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Description

Control variables in control.expert for use in inla

Usage

inla.set.control.expert.default(...)
control.expert(cpo.idx, cpo.manual, disable.gaussian.check, jp.func, jp.Rfile)

Arguments

...	Possible 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 of the data point to remove. (EXPERT OPTION: DO NOT USE)
jp.func	The R-function which returns the joint prior, to be defined in jp.Rfile
jp.Rfile	The R-file to be sourced to set up a joint prior for the hyperparmaters to be evaluated by jp.func
disable.gaussian.check	Disable the check for fast computations with a Gaussian likelihood and identity link

Value

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

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.