AM_mix_weights_prior_gamma {AntMAN}R Documentation

specify a prior on the hyperparameter γ for the Dirichlet mixture weights prior

Description

Generate a configuration object to specify a prior on the hyperparameter γ for the Dirichlet prior on the mixture weights. We assume γ \sim Gamma(a,b). Alternatively, we can fix γ to a specific value. Default is γ=1/N, where N is the number of observations. In AntMAN we assume the following parametrization of the Gamma density:

p(x\mid a,b )= \frac{b^a x^{a-1}}{Γ(a)} \exp\{ -bx \}, \quad x>0.

Usage

AM_mix_weights_prior_gamma(a = NULL, b = NULL, gamma = NULL, init = NULL)

Arguments

a

The shape parameter a of the Gamma prior.

b

The rate parameter b of the Gamma prior.

gamma

It allows to fix γ to a specific value.

init

The init value for γ, when we assume γ random.

Value

A AM_mix_weights_prior object. This is a configuration list to be used as mix_weight_prior argument for AM_mcmc_fit.

Examples

AM_mix_weights_prior_gamma (a=1, b=1)
AM_mix_weights_prior_gamma (a=1, b=1, init=1)
AM_mix_weights_prior_gamma (gamma = 3)
AM_mix_weights_prior_gamma () 

[Package AntMAN version 1.1.0 Index]