Model-based approach for clustering of multivariate data, capable of combining different types of variables (continuous, ordinal and nominal) and accommodating 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. Details of the underlying model is described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <arXiv:1612.00083>.
Version: | 1.3 |
Depends: | R (≥ 2.10) |
Imports: | compiler, gplots, MASS, matrixcalc, mvtnorm, plyr, Rcpp (≥ 1.0.5), truncnorm |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | scatterplot3d |
Published: | 2020-11-30 |
Author: | Christian Carmona |
Maintainer: | Christian Carmona <carmona at stats.ox.ac.uk> |
BugReports: | https://github.com/christianu7/BNPMIXcluster/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/christianu7/BNPMIXcluster |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | BNPMIXcluster results |
Reference manual: | BNPMIXcluster.pdf |
Package source: | BNPMIXcluster_1.3.tar.gz |
Windows binaries: | r-devel: BNPMIXcluster_1.3.zip, r-devel-UCRT: BNPMIXcluster_1.3.zip, r-release: BNPMIXcluster_1.3.zip, r-oldrel: BNPMIXcluster_1.3.zip |
macOS binaries: | r-release: BNPMIXcluster_1.3.tgz, r-oldrel: BNPMIXcluster_1.3.tgz |
Old sources: | BNPMIXcluster archive |
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