Nothing
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++.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Markus 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] |
| Maintainer | Markus Steiner <markus.d.steiner@gmail.com> |
| License | GPL-3 |
| Version | 0.4.4 |
| URL | https://github.com/mdsteiner/EFAtools |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the EFAtools package in your browser
Any scripts or data that you put into this service are public.
