Package: dirichletprocess
Type: Package
Title: Build Dirichlet Process Objects for Bayesian Modelling
Version: 0.2.0
Authors@R: c(
            person("Dean", "Markwick", email="dean.markwick@talk21.com", role=c("aut", "cre")),
            person("Gordon", "J. Ross", email="gordon@gordonjross.co.uk", role=c("aut"))
          )
Maintainer: Dean Markwick <dean.markwick@talk21.com>
Description: Create Dirichlet process objects that can be used as infinite mixture models in a variety of ways.
    Some examples include; density estimation, Poisson process intensity inference, hierarchical modelling and clustering. 
    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: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-29 10:03:39 UTC; deanmarkwick
Author: Dean Markwick [aut, cre],
  Gordon J. Ross [aut]
Repository: CRAN
Date/Publication: 2018-01-29 18:23:55 UTC
