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++.
https://anaconda.org/r/r-efatools/badges/version.svg
https://anaconda.org/r/r-efatools/badges/latest_release_date.svg
https://anaconda.org/r/r-efatools/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-efatools/badges/platforms.svg
https://anaconda.org/r/r-efatools/badges/license.svg
https://anaconda.org/r/r-efatools/badges/downloads.svg