EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.

Package details

AuthorMarkus Steiner [aut, cre], Silvia Grieder [aut], William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb]
MaintainerMarkus Steiner <markus.d.steiner@gmail.com>
LicenseGPL-3
Version0.4.1
URL https://github.com/mdsteiner/EFAtools
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EFAtools")

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EFAtools documentation built on April 24, 2022, 5:05 p.m.