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: | 0.4-0 |
| Depends: | R (≥ 2.7.0), methods, rgenoud (≥ 5.4-7), gWidgetsRGtk2 (≥ 0.0-31), stats4, rrcov, Matrix |
| Imports: | stats4, rrcov |
| Suggests: | corpcor, mvnmle, polycor, nFactors, Rgraphviz, mvnormtest, energy, jit, GPArotation |
| Enhances: | stats4, rrcov |
| Date: | 2008-07-09 |
| Author: | Ben Goodrich |
| Maintainer: | Ben Goodrich <bgokGM at gmail.com> |
| License: | FILE |
| URL: | http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:fair |
| In views: | Multivariate, Psychometrics |
| CRAN checks: | FAiR results |
Downloads:
| Package source: | FAiR_0.4-0.tar.gz |
| MacOS X binary: | FAiR_0.4-0.tgz |
| Windows binary: | FAiR_0.4-0.zip |
| Reference manual: | FAiR.pdf |
| Vignettes: |
Factor Analysis in R |
| News/ChangeLog: | NEWS |
| Old sources: | FAiR archive |