CRAN/E | autoMFA

autoMFA

Algorithms for Automatically Fitting MFA Models

Installation

About

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.

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2021-08-10 962 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks autoMFA results

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Maintainer

Maintainer

John Davey

john.c.m.davey@gmail.com

Authors

John Davey

aut / cre

Sharon Lee

ctb

Garique Glonek

ctb

Suren Rathnayake

ctb

Geoff McLachlan

ctb

Albert Ali Salah

ctb

Heysem Kaya

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

abind
MASS
Matrix
Rfast
expm
stats
utils
Rdpack
pracma
usethis