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IMIFA: Infinite Mixtures of Infinite Factor Analysers and Related Models

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. (2020) <doi:10.1214/19-BA1179>. 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, posterior predictive checking, and quantifying uncertainty.

Version: 2.2.0
Depends: R (≥ 4.0.0)
Imports: matrixStats (≥ 1.0.0), mclust (≥ 5.4), mvnfast, Rfast (≥ 1.9.8), slam, viridisLite
Suggests: gmp (≥ 0.5-4), knitr, mcclust, rmarkdown, Rmpfr
Published: 2023-12-12
DOI: 10.32614/CRAN.package.IMIFA
Author: Keefe Murphy ORCID iD [aut, cre], Cinzia Viroli ORCID iD [ctb], Isobel Claire Gormley ORCID iD [ctb]
Maintainer: Keefe Murphy <keefe.murphy at mu.ie>
BugReports: https://github.com/Keefe-Murphy/IMIFA
License: GPL (≥ 3)
URL: https://cran.r-project.org/package=IMIFA
NeedsCompilation: no
Citation: IMIFA citation info
Materials: README NEWS
In views: Cluster
CRAN checks: IMIFA results

Documentation:

Reference manual: IMIFA.pdf
Vignettes: Infinite Mixtures of Infinite Factor Analysers

Downloads:

Package source: IMIFA_2.2.0.tar.gz
Windows binaries: r-devel: IMIFA_2.2.0.zip, r-release: IMIFA_2.2.0.zip, r-oldrel: IMIFA_2.2.0.zip
macOS binaries: r-release (arm64): IMIFA_2.2.0.tgz, r-oldrel (arm64): IMIFA_2.2.0.tgz, r-release (x86_64): IMIFA_2.2.0.tgz, r-oldrel (x86_64): IMIFA_2.2.0.tgz
Old sources: IMIFA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=IMIFA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.