Package: AntMAN
Version: 1.1.0
Date: 2021-07-01
Type: Package
Title: Anthology of Mixture Analysis Tools
Authors@R: c(person("Priscilla", "Ong", role = c("aut", "edt"), email = "priscilla.ong@u.yale-nus.edu.sg"),
             person("Raffaele", "Argiento", role = "aut", email= "raffaele.argiento@unito.it"), 
             person("Bruno", "Bodin", role = c("aut", "cre"), email = "bruno.bodin@yale-nus.edu.sg"),
             person("Maria", "De Iorio", role = "aut", email = "m.deiorio@ucl.ac.uk"))
Author: Priscilla Ong [aut, edt],
  Raffaele Argiento [aut],
  Bruno Bodin [aut, cre],
  Maria De Iorio [aut]
Maintainer: Bruno Bodin <bruno.bodin@yale-nus.edu.sg>
Description: 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).
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/bbodin/AntMAN
Imports: stats, graphics, grDevices, Rcpp (>= 0.12.3), salso, mvtnorm,
        mcclust, GGally, bayesplot, Rdpack
RdMacros: Rdpack
Suggests: dendextend, ggdendro, ggplot2, jpeg
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2021-07-23 07:22:05 UTC; toky
Repository: CRAN
Date/Publication: 2021-07-23 10:00:02 UTC
Built: R 4.1.0; aarch64-apple-darwin20; 2021-07-25 16:32:15 UTC; unix
Archs: AntMAN.so.dSYM
