control.hazard: Control variables in control.hazard

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.hazard for use in inla

Usage

inla.set.control.hazard.default(...)
control.hazard(constr, cutpoints, fixed, hyper, initial, model, n.intervals, param, prior, scale.model, strata.name)

Arguments

...	Possible arguments
model	The model for the baseline hazard model. One of 'rw1' or 'rw2'. (Default 'rw1'.)
hyper	The definition of the hyperparameters.
fixed	(OBSOLETE!) A boolean variable; is the precision for 'model' fixed? (Default FALSE.)
initial	(OBSOLETE!) The initial value for the precision.
prior	(OBSOLETE!) The prior distribution for the precision for 'model'
param	(OBSOLETE!) The parameters in the prior distribution
constr	A boolean variable; shall the 'model' be constrained to sum to zero?
n.intervals	Number of intervals in the baseline hazard. (Default 15)
cutpoints	The cutpoints to use. If not specified the they are compute from 'n.intervals' and the maximum length of the interval. (Default NULL)
strata.name	The name of the stratefication variable for the baseline hazard in the data.frame
scale.model	Scale the baseline hazard model (RW1, RW2) so the generalized variance is 1. (Default inla.getOption("scale.model.default").)

Value

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