BayesFM: Bayesian Inference for Factor Modeling

Collection of procedures to perform Bayesian analysis on a variety of factor models. Currently, it includes: "Bayesian Exploratory Factor Analysis" (befa) from G. Conti, S. Frühwirth-Schnatter, J.J. Heckman, R. Piatek (2014) <doi:10.1016/j.jeconom.2014.06.008>, an approach to dedicated factor analysis with stochastic search on the structure of the factor loading matrix. The number of latent factors, as well as the allocation of the manifest variables to the factors, are not fixed a priori but determined during MCMC sampling.

Version: 0.1.7
Depends: R (≥ 3.0.0)
Imports: checkmate (≥ 1.8.0), coda, ggplot2 (≥ 2.1.0), gridExtra, plyr (≥ 1.8.0)
Published: 2024-06-13
DOI: 10.32614/CRAN.package.BayesFM
Author: Rémi Piatek ORCID iD [aut, cre]
Maintainer: Rémi Piatek <remi.piatek at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: gfortran (>= 4.6.3)
Materials: README NEWS
In views: Bayesian, Psychometrics
CRAN checks: BayesFM results


Reference manual: BayesFM.pdf


Package source: BayesFM_0.1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesFM_0.1.7.tgz, r-oldrel (arm64): BayesFM_0.1.7.tgz, r-release (x86_64): BayesFM_0.1.7.tgz, r-oldrel (x86_64): BayesFM_0.1.7.tgz
Old sources: BayesFM archive

Reverse dependencies:

Reverse suggests: parameters


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