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.
Version: 1.0.0 Depends: R (≥ 3.5.0) Imports: abind, MASS, Matrix, Rfast, expm, stats, utils, Rdpack, pracma, usethis Published: 2021-08-10 DOI: 10.32614/CRAN.package.autoMFA 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 at gmail.com> License: GPL (≥ 3) NeedsCompilation: no Materials: README NEWS CRAN checks: autoMFA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=autoMFA to link to this page.
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