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>.
| Version: | 1.2.4 |
| Depends: | R (≥ 2.10) |
| Imports: | compiler, gplots, MASS, matrixcalc, mvtnorm, plyr, Rcpp, truncnorm |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | scatterplot3d |
| Published: | 2017-09-26 |
| Author: | Christian Carmona [aut, cre], Luis Nieto-Barajas [aut], Antonio Canale [ctb] |
| Maintainer: | Christian Carmona <carmona at stats.ox.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | BNPMIXcluster results |
| Reference manual: | BNPMIXcluster.pdf |
| Package source: | BNPMIXcluster_1.2.4.tar.gz |
| Windows binaries: | r-devel: BNPMIXcluster_1.2.4.zip, r-release: BNPMIXcluster_1.2.4.zip, r-oldrel: BNPMIXcluster_1.2.4.zip |
| macOS binaries: | r-release: BNPMIXcluster_1.2.4.tgz, r-oldrel: BNPMIXcluster_1.2.4.tgz |
| Old sources: | BNPMIXcluster archive |
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