Package: FAiR
Type: Package
Title: Factor Analysis in R
Version: 0.4-15
Date: 2014-02-08
Author: Ben Goodrich
Maintainer: Ben Goodrich <bgokgm@gmail.com>
Description: 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.
URL: http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:fair
License: AGPL (>= 3) + file LICENSE
Encoding: UTF-8
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
LazyLoad: yes
Packaged: 2014-02-08 06:13:33 UTC; goodrich
Repository: CRAN
Date/Publication: 2014-02-08 08:06:48
NeedsCompilation: yes
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 07:31:14 UTC; windows
Archs: i386, x64
