AntMAN: Anthology of Mixture Analysis Tools

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).

Version: 1.1.0
Imports: stats, graphics, grDevices, Rcpp (≥ 0.12.3), salso, mvtnorm, mcclust, GGally, bayesplot, Rdpack
LinkingTo: Rcpp, RcppArmadillo
Suggests: dendextend, ggdendro, ggplot2, jpeg
Published: 2021-07-23
Author: Priscilla Ong [aut, edt], Raffaele Argiento [aut], Bruno Bodin [aut, cre], Maria De Iorio [aut]
Maintainer: Bruno Bodin <bruno.bodin at yale-nus.edu.sg>
License: MIT + file LICENSE
URL: https://github.com/bbodin/AntMAN
NeedsCompilation: yes
CRAN checks: AntMAN results

Downloads:

Reference manual: AntMAN.pdf
Package source: AntMAN_1.1.0.tar.gz
Windows binaries: r-devel: AntMAN_1.1.0.zip, r-devel-UCRT: AntMAN_1.1.0.zip, r-release: AntMAN_1.1.0.zip, r-oldrel: AntMAN_1.1.0.zip
macOS binaries: r-release (arm64): AntMAN_1.1.0.tgz, r-release (x86_64): AntMAN_1.1.0.tgz, r-oldrel: AntMAN_1.1.0.tgz
Old sources: AntMAN archive

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