DESCRIPTION

Package: dirichletprocess
Type: Package
Title: Build Dirichlet Process Objects for Bayesian Modelling
Version: 0.4.0.9000
Authors@R: c(
            person("Gordon", "J. Ross", email="gordon@gordonjross.co.uk", role=c("aut")),
            person("Dean", "Markwick", email="dean.markwick@talk21.com", role=c("aut", "cre")),
            person("Kees", "Mulder", email="keestimmulder@gmail.com", role=c("ctb"), 
            comment = c(ORCID = "0000-0002-5387-3812")),
            person("Giovanni", "Sighinolfi", email ="giovanni.sighinolfi2@studio.unibo.it", role=c("ctb")),
            person("Filippo Fiocchi", email="filippofiocchi1@gmail.com", role=c("ctb"))
          )
Maintainer: Dean Markwick <dean.markwick@talk21.com>
Description: Perform nonparametric Bayesian analysis using Dirichlet 
    processes without the need to program the inference algorithms. 
    Utilise included pre-built models or specify custom 
    models and allow the 'dirichletprocess' package to handle the 
    Markov chain Monte Carlo sampling. 
    Our Dirichlet process objects can act as building blocks for a variety 
    of statistical models including and not limited to: density estimation, 
    clustering and prior distributions in hierarchical models.
    See Teh, Y. W. (2011) 
    <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, 
    among many other sources.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat,
    knitr,
    rmarkdown,
    tidyr,
    dplyr
Imports: gtools,
         ggplot2,
         mvtnorm
URL: https://github.com/dm13450/dirichletprocess, https://dm13450.github.io/dirichletprocess/
BugReports: https://github.com/dm13450/dirichletprocess/issues
RoxygenNote: 6.1.1