Package: dirichletprocess
Type: Package
Title: Build Dirichlet Process Objects for Bayesian Modelling
Version: 0.4.0
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"))
          )
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
BugReports: https://github.com/dm13450/dirichletprocess/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-06-13 10:22:08 UTC; deanmarkwick
Author: Gordon J. Ross [aut],
  Dean Markwick [aut, cre],
  Kees Mulder [ctb] (<https://orcid.org/0000-0002-5387-3812>),
  Giovanni Sighinolfi [ctb]
Repository: CRAN
Date/Publication: 2020-06-13 10:40:02 UTC
Built: R 4.0.2; ; 2020-08-02 14:24:41 UTC; windows
