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 [aut, cre]
Maintainer:	Rémi Piatek <remi.piatek at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
SystemRequirements:	gfortran (>= 4.6.3)
Materials:	README, NEWS
In views:	Bayesian, Psychometrics
CRAN checks:	BayesFM results

Documentation:

Reference manual:

BayesFM.html , BayesFM.pdf

Downloads:

Package source:	BayesFM_0.1.7.tar.gz
Windows binaries:	r-devel: BayesFM_0.1.7.zip, r-release: BayesFM_0.1.7.zip, r-oldrel: BayesFM_0.1.7.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesFM to link to this page.