bhpm.hyper.params.defaults: Generate default hyperparameter values for a model.

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

Description

Generate default hyperparameter values for a model.

Usage

	bhpm.hyper.param.defaults(model = "BB", hier = 3)

Arguments

model	Allowed values are "BB" and "1a" for point-mass and non-point-mass models respectively.
hier	Allowed values are 2 and 3 two-level and three-level hierarchies repsectively.

Value

A list containing the default parameter values.

Author(s)

R. Carragher

Examples

h.p <- bhpm.hyper.param.defaults("BB", 3)
print(h.p$mu.gamma.0.0)

h.p <- bhpm.hyper.param.defaults("BB", 3)
print(h.p$mu.gamma.0.0)

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