Package: EMMIXmfa
Type: Package
Title: Mixture Models with Component-Wise Factor Analyzers
Version: 2.0.71
Date: 2018-12-14
URL: https://github.com/suren-rathnayake/EMMIXmfa
Author: Suren Rathnayake, Geoff McLachlan, David Peel, Jangsun Baek
Maintainer: Suren Rathnayake <surenr@gmail.com>
Description: We provide functions to fit finite mixtures of
        multivariate normal or t-distributions to data with various
        factor analytic structures adopted for the covariance/scale
        matrices. The factor analytic structures available include
        mixtures of factor analyzers and mixtures of common factor
        analyzers. The latter approach is so termed because the matrix
        of factor loadings is common to components before the
        component-specific rotation of the component factors to make
        them white noise. Note that the component-factor loadings are
        not common after this rotation. Maximum likelihood estimators
        of model parameters are obtained via the
        Expectation-Maximization algorithm. See descriptions of the
        algorithms used in McLachlan GJ, Peel D (2000)
        <doi:10.1002/0471721182.ch8> McLachlan GJ, Peel D (2000)
        <ISBN:1-55860-707-2> McLachlan GJ, Peel D, Bean RW (2003)
        <doi:10.1016/S0167-9473(02)00183-4> McLachlan GJ, Bean RW,
        Ben-Tovim Jones L (2007) <doi:10.1016/j.csda.2006.09.015> Baek
        J, McLachlan GJ, Flack LK (2010) <doi:10.1109/TPAMI.2009.149>
        Baek J, McLachlan GJ (2011) <doi:10.1093/bioinformatics/btr112>
        McLachlan GJ, Baek J, Rathnayake SI (2011)
        <doi:10.1002/9781119995678.ch9>.
Suggests: mvtnorm, GGally, ggplot2, testthat
License: GPL (>= 2)
Repository: https://suren-rathnayake.r-universe.dev
Date/Publication: 2019-02-23 22:31:33 UTC
RemoteUrl: https://github.com/suren-rathnayake/emmixmfa
RemoteRef: HEAD
RemoteSha: 413ff590398c58e3c7596205b102cceaa827643b
NeedsCompilation: yes
Packaged: 2026-09-30 07:53:43 UTC; root