sim_model: Construct A Simulation Model Object

In bdpopt: Optimisation of Bayesian Decision Problems

Description

Construct a simulation model object from a JAGS model file and a JAGS data file or a named list of data objects.

Usage

sim.model(model.file, data)

Arguments

model.file	Name of the file defining the JAGS model. This must be an atomic character vector of a single element.
data	Name of the file defining the JAGS data or a named list of R objects. If a file name, it must be an atomic character vector of a single element.

Value

An S3 object of class sim.model with components

model.file	The name of the JAGS model file used to create the object.
data	A named list of data objects extracted from the JAGS data file or directly supplied as an argument.
grid.spec.list	The grid specification list after grid evaluation. Initially set to NA when the object is created.
sim.points	A matrix with with columns holding the positions of the grid points after grid evaluation. Initially set to NA when the object is created.
sim.means	A vector holding the sample means after grid evaluation. Initially set to NA when the object is created.
sim.SEs	A vector holding the standard errors corresponding to the sample means after grid evaluation. Initially set to NA when the object is created.
regression.fun	The approximate, smoothed function after regression has been performed. Initially set to NA when the object is created.
gpr.hyper.params	The hyperparameters selected in the GPR regression after it has been performed. Initially set to NA when the object is created.

Author(s)

Sebastian Jobj<f6>rnsson [e-mail]

See Also

create.normal.model

bdpopt documentation built on May 2, 2019, 9:18 a.m.