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.


Changes in version 0.1.0

  • Fixed dependencies in Fortran code (Makevars file) and added gfortran as system requirement in DESCRIPTION file to solve cross-compilation problems.
  • Added print(), summary() and plot() functions to "befa" object.
  • Removed HPPmodel(), as highest posterior probability models can now be summarized with generic function summary().
  • Renamed two arguments passed to befa() function for consistency (loading.start -> alpha.start, idiovar.start -> sigma.start).
  • Removed deprecated cleanup file.
  • Added NEWS file.

Changes in version 0.0.2

  • First version released on CRAN.

Reference manual

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0.1.2 by Rémi Piatek, 9 months ago

Browse source code at

Authors: Rémi Piatek [aut, cre]

Documentation:   PDF Manual  

Task views: Psychometric Models and Methods

GPL-3 license

Imports checkmate, coda, ggplot2, gridExtra, plyr

System requirements: gfortran (>= 4.6.3)

See at CRAN