This package estimates factor analysis models using a genetic algorithm, which makes opens up a number of new ways to pursue old ideas, such as those discussed by Allen Yates in his 1987 book Multivariate Exploratory Data Analysis. The major sources of value added in this package are new ways to transform factors in exploratory factor analysis, and perhaps more importantly, a new estimator for the factor analysis model called semi-exploratory factor analysis.
| Version: | 0.2-0 |
| Depends: | R (≥ 2.6.0), methods, rgenoud (≥ 5.4-7), gWidgetsRGtk2, stats4 |
| Imports: | stats4 |
| Suggests: | robustbase, MASS, nFactors |
| Enhances: | stats4 |
| Date: | 2008-01-31 |
| Author: | Ben Goodrich |
| Maintainer: | Ben Goodrich <bgokGM at gmail.com> |
| License: | GPL (≥ 3) |
| In views: | Multivariate, Psychometrics |
| CRAN checks: | FAiR results |
Downloads:
| Package source: | FAiR_0.2-0.tar.gz |
| MacOS X binary: | not available, see check log. |
| Windows binary: | FAiR_0.2-0.zip |
| Reference manual: | FAiR.pdf |
| Vignettes: |
Factor Analysis in R |