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), 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. More approaches will be included in future releases of this package.

Version: 0.0.2
Depends: R (≥ 3.0.0), checkmate (≥ 1.8.0), plyr (≥ 1.8.0)
Published: 2016-11-03
Author: Rémi Piatek [aut, cre]
Maintainer: Rémi Piatek <remi.piatek at econ.ku.dk>
License: GPL-3
NeedsCompilation: yes
In views: Psychometrics
CRAN checks: BayesFM results

Downloads:

Reference manual: BayesFM.pdf
Package source: BayesFM_0.0.2.tar.gz
Windows binaries: r-devel: BayesFM_0.0.2.zip, r-release: BayesFM_0.0.2.zip, r-oldrel: BayesFM_0.0.2.zip
OS X Mavericks binaries: r-release: BayesFM_0.0.2.tgz, r-oldrel: BayesFM_0.0.2.tgz

Linking:

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