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

Packaged: Mon Oct  6 01:56:15 2008; goodrich

Packaged: Mon Jan 12 11:04:49 2009; goodrich

Package: FAiR
Type: Package
Title: Factor Analysis in R
Version: 0.4-5
Date: 2009-11-02
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: file LICENSE
Encoding: UTF-8
Imports: stats4, rrcov
Enhances: stats4, rrcov
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, jit, GPArotation
LazyLoad: yes
Packaged: 2009-11-02 23:28:43 UTC; goodrich
Repository: CRAN
Date/Publication: 2009-11-03 11:23:27