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FAiR (version 0.4-15)

Factor Analysis in R

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.

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Version

Install

install.packages('FAiR')

Monthly Downloads

150

Version

0.4-15

License

AGPL (>= 3) + file LICENSE

Maintainer

Last Published

February 8th, 2014

Functions in FAiR (0.4-15)

S3methodsFAiR

S3 methods for "FA" objects
S4GenericsFAiR

S4 Generics \& Methods for Package `FAiR'
Rotate

Choose a Transformation in Exploratory Factor Analysis
mapping_rule

Default Mapping Rule
loadings

Extractor ("get") functions
create_FAobject

Class "FA" and Its Constructors
restrictions2RAM

Convert to reticular action model
manifest-class

Class "manifest"
make_restrictions

Make an object of class "restrictions"
Factanal

Estimate Factor Analysis Models
parameter-class

Class "parameter"
restrictions2model

Map free parameters to matrices
FAiR-package

Factor Analysis in R
model_comparison

Compare Factor Analysis Models
equality_restriction-class

Class "equality\_restriction"
restrictions2Mathomatic

Format Equations for Mathomatic
summary.FA-class

Class "summary.FA"
restrictions-class

Class "restrictions"
restrictions2draws

Draw from sampling distribution of estimates
make_manifest

Make an object that inherits from class "manifest"
FAiR-internal

Quasi-internal S4 Methods
GPA2FA

Covert Result of Gradient Projection Algorithm
read.cefa

Read and Write Files Produced by or for CEFA
read.triangular

Input a Covariance or Correlation Matrix