Factor Analysis in R CRAN Task View: Multivariate (http://CRAN.R-project.org/view=Multivariate) CRAN Task View: Psychometrics (http://CRAN.R-project.org/view=Psychometrics) 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. Software Depends: R (>= 2.7.0), methods, rgenoud (>= 5.4-7), gWidgetsRGtk2 (>= 0.0-31), stats4, rrcov, Matrix, jit Imports: stats4, rrcov Suggests: corpcor, mvnmle, polycor, nFactors, Rgraphviz, mvnormtest, energy, GPArotation, sem, MASS, psych Enhances: stats4, rrcov Ben Goodrich <bgokGM@gmail.com> Ben Goodrich AGPL (>= 3) + file LICENSE (http://CRAN.R-project.org/package=FAiR/LICENSE) 2012-02-27 application/tgz http://CRAN.R-project.org/package=FAiR