Package: IMIFA
Type: Package
Date: 2020-03-30
Title: Infinite Mixtures of Infinite Factor Analysers and Related
        Models
Version: 2.1.2
Authors@R: c(person("Keefe", "Murphy", email = "keefe.murphy@ucd.ie", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7709-3159")),
             person("Cinzia", "Viroli", email = "cinzia.viroli@unibo.it", role = "ctb"),
             person("Isobel Claire", "Gormley", email = "claire.gormley@ucd.ie", role = "ctb"))
Description: 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. (2019) <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.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
Encoding: UTF-8
URL: https://cran.r-project.org/package=IMIFA
BugReports: https://github.com/Keefe-Murphy/IMIFA
LazyData: true
Imports: matrixStats, mclust (>= 5.1), mvnfast, Rfast (>= 1.9.8), slam,
        viridis
Suggests: gmp, knitr, mcclust, rmarkdown, Rmpfr
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Collate: 'MainFunction.R' 'Diagnostics.R' 'FullConditionals.R'
        'Gibbs_FA.R' 'Gibbs_IFA.R' 'Gibbs_IMFA.R' 'Gibbs_IMIFA.R'
        'Gibbs_MFA.R' 'Gibbs_MIFA.R' 'Gibbs_OMFA.R' 'Gibbs_OMIFA.R'
        'IMIFA.R' 'PlottingFunctions.R' 'SimulateData.R' 'data.R'
NeedsCompilation: no
Packaged: 2020-03-30 14:04:22 UTC; Keefe
Author: Keefe Murphy [aut, cre] (<https://orcid.org/0000-0002-7709-3159>),
  Cinzia Viroli [ctb],
  Isobel Claire Gormley [ctb]
Maintainer: Keefe Murphy <keefe.murphy@ucd.ie>
Repository: CRAN
Date/Publication: 2020-03-30 14:40:02 UTC
Built: R 3.5.3; ; 2020-04-22 08:52:44 UTC; windows
