This package estimates factor analysis models using a genetic algorithm, which permits a general mechanism for restricted optimization with arbitrary restrictions that are chosen at run time with the help of a GUI. Importantly, inequality restrictions can be imposed on functions of multiple parameters, which provides a new avenues for testing and generating theories with factor analysis models. This package also includes an entirely new estimator of the common factor analysis model called semi-exploratory factor analysis, which is a general alternative to exploratory and confirmatory factor analysis. Finally, this package integrates a lot of other packages that estimate sample covariance matrices and thus provides a lot of alternatives to the traditional sample covariance calculation. Note that you need to have the Gtk run time library installed on your system to use this package; see the URL below for detailed installation instructions. Most users would only need to understand the first twenty-four pages of the PDF manual.

Version: | 0.4-15 |

Depends: | R (≥ 2.7.0), methods, rgenoud (≥ 5.4-7), gWidgetsRGtk2 (≥ 0.0-31), stats4, rrcov, Matrix |

Suggests: | corpcor, mvnmle, polycor, nFactors, Rgraphviz, mvnormtest, energy, GPArotation, sem, MASS, psych |

Published: | 2014-02-08 |

Author: | Ben Goodrich |

Maintainer: | Ben Goodrich <bgokgm at gmail.com> |

License: | AGPL (≥ 3) + file LICENSE |

URL: | http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:fair |

NeedsCompilation: | yes |

Materials: | NEWS |

In views: | Multivariate, Psychometrics |

CRAN checks: | FAiR results |

Reference manual: | FAiR.pdf |

Vignettes: |
Factor Analysis in R |

Package source: | FAiR_0.4-15.tar.gz |

MacOS X binary: | FAiR_0.4-15.tgz |

Windows binary: | FAiR_0.4-15.zip |

Old sources: | FAiR archive |