Infinite Mixtures of Infinite Factor Analysers and Related Models R package IMIFA version 2.2.0 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) 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. Software 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 Keefe Murphy <keefe.murphy@mu.ie> Comprehensive R Archive Network (CRAN) Keefe Murphy [aut, cre] (ORCID: <https://orcid.org/0000-0002-7709-3159>), Cinzia Viroli [ctb] (ORCID: <https://orcid.org/0000-0002-3278-5266>), Isobel Claire Gormley [ctb] (ORCID: <https://orcid.org/0000-0001-7713-681X>) GPL (>= 3) 2023-12-12 application/tgz https://CRAN.R-project.org/package=IMIFA doi:10.32614/CRAN.package.IMIFA