bmm.component.posterior.predictive.density: bmm.component.posterior.predictive.density: Calculate a...

In genome/bmm: Variational Bayesian approach to fitting mixtures of beta, binomial, or Gaussian distributions

bmm.component.posterior.predictive.density: Calculate a component's posterior predictive density.

Description

Calculate the posterior predictive density at x in a single dimension for a single component.

Usage

  bmm.component.posterior.predictive.density(x, mu, alpha, nu, beta, pi, 
                                             num.samples = 1000)

Arguments

x	the scalar at which to evaluate the posterior predictive density
mu	a (scalar) shape parameter for the gamma prior distribution over a particular component's u parameter.
alpha	a (scalar) rate (i.e., inverse scale) parameter for the gamma prior distribution over a particular component's u parameter.
nu	a (scalar) shape parameter for the gamma prior distribution over a particular component's v parameter.
beta	a (scalar) rate (i.e., inverse scale) parameter for the gamma prior distribution over a particular component's v parameter.
pi	a (scaler) mixing coefficient giving the weight of the component
num.samples	the number of samples to use in performing the numerical evaluation of the predictive density

Value

the posterior preditive density at x for the specified component

genome/bmm documentation built on Aug. 4, 2022, 8:01 a.m.