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autoMFA
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]
[Scholar Profile | Author Map]
All associated links for this package
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 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for autoMFA
Functions, R codes and Examples using
the autoMFA R package
Some associated functions: AMFA.inc . AMFA . MFA_ECM . MFA_testdata . amofa . autoMFA-package . preprocess . vbmfa .
Some associated R codes: AMFA.fit.R . ECM.fit.R . MStep.amfa.R . MStep.ecm.R . VBMoFa_dependencies.R . amofa.R . amofa_dependencies.R . autoMFA-package.R . cont_mfa_fj.R . est.mfa.R . est.mfa.ecm.R . inc_AMFA.R . incremental_AMFA.R . init_est_para.mfa.R . logL.R . logL_tau.mfa.R . mydiag.R . preprocess.R . progress.R . start_clust.R . testdata.R . vbmfa.R . Full autoMFA package functions and examples
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