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.
|Date of publication||2014-02-08 08:06:48|
|Maintainer||Ben Goodrich <email@example.com>|
|License||AGPL (>= 3) + file LICENSE|
00FAiR-package: Factor Analysis in R
01make_manifest: Make an object that inherits from class "manifest"
02make_restrictions: Make an object of class "restrictions"
03Factanal: Estimate Factor Analysis Models
04Rotate: Choose a Transformation in Exploratory Factor Analysis
create_FAobject: Class "FA" and Its Constructors
equality_restriction-class: Class "equality\_restriction"
FAiR-internal: Quasi-internal S4 Methods
GPA2FA: Covert Result of Gradient Projection Algorithm
loadings: Extractor ("get") functions
manifest-class: Class "manifest"
mapping_rule: Default Mapping Rule
model_comparison: Compare Factor Analysis Models
parameter-class: Class "parameter"
read.cefa: Read and Write Files Produced by or for CEFA
read.triangular: Input a Covariance or Correlation Matrix
restrictions2draws: Draw from sampling distribution of estimates
restrictions2Mathomatic: Format Equations for Mathomatic
restrictions2model: Map free parameters to matrices
restrictions2RAM: Convert to reticular action model
restrictions-class: Class "restrictions"
S3methods: S3 methods for "FA" objects
S4methods: S4 Generics & Methods for Package 'FAiR'
summary.FA-class: Class "summary.FA"