galaxy

This data set considers the physical information of velocities (10^3 km/second) for
82 galaxies reported by Roeder (1990). These are drawn from six well-separated
conic sections of the Corona Borealis region.

datasets

Fits finite Bayesian mixture models with a random number of components. The MCMC algorithm implemented is based on point processes as proposed by Argiento and De Iorio (2019) <arXiv:1904.09733> and offers a more computationally efficient alternative to reversible jump. Different mixture kernels can be specified: univariate Gaussian, multivariate Gaussian, univariate Poisson, and multivariate Bernoulli (latent class analysis). For the parameters characterising the mixture kernel, we specify conjugate priors, with possibly user specified hyper-parameters. We allow for different choices for the prior on the number of components: shifted Poisson, negative binomial, and point masses (i.e. mixtures with fixed number of components).

Bruno Bodin

AntMAN

Anthology of Mixture Analysis Tools

Priscilla Ong

Raffaele Argiento

Maria De Iorio

galaxy function

A data frame with X rows and Y variables.
A numeric vector giving the speed of galaxies (1000*(km/second))

Format

Galaxy velocities dataset — galaxy

Galaxy velocities dataset

galaxy: Galaxy velocities dataset

Description

Usage

Arguments

Format

Examples