Package: autoMFA
Title: Algorithms for Automatically Fitting MFA Models
Version: 1.0.0
Authors@R: c(
    person(given = "John",
           family = "Davey",
           role = c("aut", "cre"),
           email = "john.c.m.davey@gmail.com"),
    person(given = "Sharon",
           family = "Lee",
           role = "ctb"),
    person(given = "Garique",
           family = "Glonek",
           role = "ctb"),
    person(given = "Suren",
           family = "Rathnayake",
           role = "ctb"),
    person(given = "Geoff",
           family = "McLachlan",
           role = "ctb"),
    person(given = "Albert Ali",
           family = "Salah",
           role = "ctb"),
    person(given = "Heysem",
           family = "Kaya",
           role = "ctb"))    
Description: Provides methods for fitting the Mixture of Factor Analyzers (MFA) model automatically. 
    The MFA model is a mixture model where each sub-population is assumed to follow the Factor Analysis model. The Factor Analysis (FA) model is a latent variable model which assumes that observations are normally distributed, but imposes constraints on their covariance matrix. The MFA model contains two hyperparameters; g (the number of components in the mixture) and q (the number of factors in each component Factor Analysis model). Usually, the Expectation-Maximisation algorithm would be used to fit the MFA model, but this requires g and q to be known. This package treats g and q as unknowns and provides several methods which infer these values with as little input from the user as possible.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Imports: abind, MASS, Matrix, Rfast, expm, stats, utils, Rdpack,
        pracma, usethis
RdMacros: Rdpack
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-08-10 05:38:09 UTC; a1725387
Author: John Davey [aut, cre],
  Sharon Lee [ctb],
  Garique Glonek [ctb],
  Suren Rathnayake [ctb],
  Geoff McLachlan [ctb],
  Albert Ali Salah [ctb],
  Heysem Kaya [ctb]
Maintainer: John Davey <john.c.m.davey@gmail.com>
Repository: CRAN
Date/Publication: 2021-08-10 12:00:05 UTC
Built: R 4.4.3; ; 2025-11-01 04:34:12 UTC; windows
