Fits finite Bayesian mixture models with random number of component. The MCMC algorithm implemented is based on point processes as proposed by Argiento and De Iorio (2019) <arXiv:1904.09733> and offers a more computational efficient alternative to reversible jump. Different mixture kernels can be specified: univariate Gaussian, univariate Poisson, univariate binomial, multivariate Gaussian, 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: | 1.0 |
| Imports: | stats, graphics, grDevices, Rcpp (≥ 0.12.3), sdols, mvtnorm, mcclust |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | dendextend, ggdendro, ggplot2, jpeg |
| Published: | 2019-10-28 |
| Author: | 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 |
| Reference manual: | AntMAN.pdf |
| Package source: | AntMAN_1.0.tar.gz |
| Windows binaries: | r-devel: AntMAN_1.0.zip, r-devel-gcc8: AntMAN_1.0.zip, r-release: AntMAN_1.0.zip, r-oldrel: AntMAN_1.0.zip |
| OS X binaries: | r-release: AntMAN_1.0.tgz, r-oldrel: AntMAN_1.0.tgz |
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