Provides flexible Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering high-dimensional data, introduced by Murphy et al. (2017) <arXiv:1701.07010v4>. The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures without recourse to model selection criteria to choose the number of clusters or cluster-specific latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided, as well as many options for plotting results, conducting posterior inference on parameters of interest, and quantifying uncertainty.
| Version: | 2.0.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | matrixStats, mclust (≥ 5.1), mvnfast, Rfast (≥ 1.8.4), slam, viridis |
| Suggests: | gmp, knitr, mcclust, methods, rmarkdown, Rmpfr |
| Published: | 2018-05-01 |
| Author: | Keefe Murphy [aut, cre], Isobel Claire Gormley [ctb], Cinzia Viroli [ctb] |
| Maintainer: | Keefe Murphy <keefe.murphy at ucd.ie> |
| BugReports: | https://github.com/Keefe-Murphy/IMIFA |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://cran.r-project.org/package=IMIFA |
| NeedsCompilation: | no |
| Citation: | IMIFA citation info |
| Materials: | README NEWS |
| In views: | Cluster |
| CRAN checks: | IMIFA results |
| Reference manual: | IMIFA.pdf |
| Vignettes: |
Infinite Mixtures of Infinite Factor Analysers |
| Package source: | IMIFA_2.0.0.tar.gz |
| Windows binaries: | r-devel: IMIFA_2.0.0.zip, r-release: IMIFA_2.0.0.zip, r-oldrel: IMIFA_2.0.0.zip |
| OS X binaries: | r-release: IMIFA_2.0.0.tgz, r-oldrel: IMIFA_2.0.0.tgz |
| Old sources: | IMIFA archive |
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