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autoMFA  

Algorithms for Automatically Fitting MFA Models
View on CRAN: Click here


Download and install autoMFA package within the R console
Install from CRAN:
install.packages("autoMFA")

Install from Github:
library("remotes")
install_github("cran/autoMFA")

Install by package version:
library("remotes")
install_version("autoMFA", "1.0.0")



Attach the package and use:
library("autoMFA")
Maintained by
John Davey
[Scholar Profile | Author Map]
First Published: 2021-08-10
Latest Update: 2021-08-10
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.
How to cite:
John Davey (2021). autoMFA: Algorithms for Automatically Fitting MFA Models. R package version 1.0.0, https://cran.r-project.org/web/packages/autoMFA. Accessed 22 Feb. 2025.
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