IMIFA (1.2.1)

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Fitting, Diagnostics, and Plotting Functions for Infinite Mixtures of Infinite Factor Analysers and Related Models.

https://cran.r-project.org/package=IMIFA
http://cran.r-project.org/web/packages/IMIFA

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) . 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 and conducting posterior inference on parameters of interest.

Maintainer: Keefe Murphy
Author(s): Keefe Murphy [aut, cre], Isobel Claire Gormley [ctb], Cinzia Viroli [ctb]

License: GPL (>= 2)

Uses: abind, e1071, matrixStats, mclust, mvnfast, plotrix, Rfast, slam, viridis, gmp, Rmpfr, knitr, rmarkdown

Released about 14 hours ago.


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