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GPArotation (version 2026.8-2)

Gradient Projection Factor Rotation

Description

Gradient projection algorithms for orthogonal and oblique rotation of factor loadings matrices in factor analysis. Implements a comprehensive set of rotation criteria including quartimax, quartimin, oblimin, geomin, simplimax, the Crawford-Ferguson family, and target rotation, among others. Supports multiple random starts. For details see Bernaards and Jennrich (2005) .

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Version

Install

install.packages('GPArotation')

Monthly Downloads

148,084

Version

2026.8-2

License

GPL (>= 2)

Maintainer

Coen Bernaards

Last Published

August 22nd, 2026

Functions in GPArotation (2026.8-2)

NormalizingWeight

Normalizing Weights for Factor Rotation

Rotation Criteria: Value and Gradient Functions

Harman's Eight Physical Variables

simple_structure

Simple Structure Quality Measures

plot.GPArotation

Plot Method for GPArotation Objects

plot2fOrthComparison

Algorithm Comparison for Two-Factor Orthogonal Rotation

Random Starting Matrix for Factor Rotation

Core Algorithms and Random-Start Wrappers

The CCAI Climate-Friendly Purchasing Choices Domain

Echelon Rotation

Griffith and Mulaik Interpersonal Personality Traits

Gradient Projection Algorithms for Factor Rotation

Thurstone Box Data

Netherlands Television Viewership Data

Rotations Functions Using Gradient Projection Algorithms

Errors-in-Variables Rotation

print.GPArotation

Print and Summary Methods for GPArotation Class Objects

\(L^p\) Rotation