Package: BNPMIXcluster
Type: Package
Title: Bayesian Nonparametric Model for Clustering with Mixed Scale
        Variables
Version: 1.2.4
Authors@R: c(person("Christian", "Carmona", role = c("aut", "cre"), email = "carmona@stats.ox.ac.uk"),
             person("Luis", "Nieto-Barajas", role = "aut", email = " lnieto@itam.mx"),
             person("Antonio", "Canale", role = "ctb", email = "antonio.canale@unito.it")
             )
Description: Bayesian nonparametric approach for clustering that is capable to combine different types of variables (continuous, ordinal and nominal) and also accommodates for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. The package performs the clustering model described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <arXiv:1612.00083>.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 2.10),
Imports: compiler, gplots, MASS, matrixcalc, mvtnorm, plyr, Rcpp,
        truncnorm
LinkingTo: Rcpp, RcppArmadillo
Suggests: scatterplot3d
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-09-26 19:24:38 UTC; Chris
Author: Christian Carmona [aut, cre],
  Luis Nieto-Barajas [aut],
  Antonio Canale [ctb]
Maintainer: Christian Carmona <carmona@stats.ox.ac.uk>
Repository: CRAN
Date/Publication: 2017-09-26 19:46:36 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 07:26:47 UTC; windows
Archs: i386, x64
