BMMpriors: Create a 'BMMpriors' object

In bayesmix: Bayesian Mixture Models with JAGS

Create a 'BMMpriors' object

Description

This function enables a comfortable creation of BMMpriors objects, which can be used for specifying the priors of a BMMmodel.

Usage

BMMpriors(specification, y, eps = 10^-16)

Arguments

specification	named list including kind, parameter, hierarchical and mod.
y	a numeric vector.
eps	a numeric value indicating the smallest value for flat priors.

Details

In specification kind can be used for specifying if an "independent" or a "conditionallyconjugate" prior shall be used. parameter can be a named list of values for the prior variables or a function name (e.g., "priorsUncertain", "priorsFish", "priorsRaftery"). hierarchical can be NULL or "tau" if a hierarchical prior shall be taken for \tau. mod is a named list which provides the possibility to override the values from parameter.

Value

There is an object BMMpriors returned with components

name	vector indicating which kind of prior is specified and if it is an hierarchical prior and if appropriate with respect to which variable.
var	list of variables in the prior and their specified values.

Author(s)

Bettina Gruen

Examples

  data("fish", package = "bayesmix")
  priors <- BMMpriors(y = fish)

bayesmix documentation built on April 14, 2023, 12:27 a.m.