bhpm.gen.initial.values: Generate a template simulation initial values.

In bhpm: Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

Description

This function generates a template for the initial values to be used to start the simulation. They can be updated by the caller and passed to the simulation function.

Usage

	bhpm.gen.initial.values(cluster.data, nchains = 3,
						model = "1a", hier = 3, level = 1)

Arguments

cluster.data	A file or data frame containing the data for analysis.
nchains	The number of chains in the simulation.
model	The model type: "BB" for point-mass models, "1a" for non-point-mass models.
hier	Allowed values are 2, 3 indicating two or three level hierarchies.
level	The dependency level in the model: 0, 1, 2.

Value

A dataframe containing the template of intial values.

Author(s)

R. Carragher

Examples

data(bhpm.cluster.data1)
initial.values <- bhpm.gen.initial.values(bhpm.cluster.data1)
print(initial.values$mu.gamma.0)

data(bhpm.cluster.data1)
initial.values <- bhpm.gen.initial.values(bhpm.cluster.data1)
print(initial.values$mu.gamma.0)

bhpm documentation built on April 1, 2020, 5:09 p.m.