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EFAtools  

Fast and Flexible Implementations of Exploratory Factor Analysis Tools
View on CRAN: Click here


Download and install EFAtools package within the R console
Install from CRAN:
install.packages("EFAtools")

Install from Github:
library("remotes")
install_github("cran/EFAtools")

Install by package version:
library("remotes")
install_version("EFAtools", "0.6.1")



Attach the package and use:
library("EFAtools")
Maintained by
Markus Steiner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-07
Latest Update: 2025-07-30
Description:
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++.
How to cite:
Markus Steiner (2020). EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools. R package version 0.6.1, https://cran.r-project.org/web/packages/EFAtools. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-07-07 13:10), 0.1.1 (2020-07-13 17:50), 0.2.0 (2020-09-17 09:20), 0.3.0 (2020-11-04 19:00), 0.3.1 (2021-03-27 09:40), 0.4.0 (2022-03-21 09:10), 0.4.1 (2022-04-24 16:40), 0.4.2 (2022-09-27 09:50), 0.4.3 (2022-10-02 17:40), 0.4.4 (2023-01-06 15:50), 0.4.5 (2024-12-22 16:40), 0.4.6 (2025-03-21 19:00), 0.5.0 (2025-05-23 23:12), 0.6.0 (2025-06-19 10:30), 0.6.1 (2025-07-30 16:10), 0.7.0 (2026-04-30 07:10)
Other packages that cited EFAtools R package
View EFAtools citation profile
Other R packages that EFAtools depends, imports, suggests or enhances
Complete documentation for EFAtools
Functions, R codes and Examples using the EFAtools R package
Some associated functions: BARTLETT . CD . COMPARE . DOSPERT . DOSPERT_raw . EFA . EFA_AVERAGE . EFAtools-package . EKC . FACTOR_SCORES . GRiPS_raw . HULL . IDS2_R . KGC . KMO . N_FACTORS . OMEGA . PARALLEL . RiskDimensions . SCREE . SL . SMT . SPSS_23 . SPSS_27 . UPPS_raw . WJIV_ages_14_19 . WJIV_ages_20_39 . WJIV_ages_3_5 . WJIV_ages_40_90 . WJIV_ages_6_8 . WJIV_ages_9_13 . dot-compute_vars . dot-factor_corres . dot-numformat . dot-paf_iter . dot-parallel_sim . pipe . plot.CD . plot.EFA_AVERAGE . plot.EKC . plot.HULL . plot.KGC . plot.PARALLEL . plot.SCREE . population_models . print.BARTLETT . print.CD . print.COMPARE . print.EFA . print.EFA_AVERAGE . print.EKC . print.HULL . print.KGC . print.KMO . print.LOADINGS . print.N_FACTORS . print.OMEGA . print.PARALLEL . print.SCREE . print.SL . print.SLLOADINGS . print.SMT . test_models . 
Some associated R codes: BARTLETT.R . CD.R . COMPARE.R . DOSPERT_doc.R . DOSPERT_raw_doc.R . EFA.R . EFA_AVERAGE.R . EFAtools-package.R . EKC.R . FACTOR_SCORES.R . GRiPS_raw_doc.R . HULL.R . IDS2_R_doc.R . KGC.R . KMO.R . ML.R . N_FACTORS.R . OMEGA.R . OMEGA_helper.R . PAF.R . PARALLEL.R . PROMAX.R . ROTATE_OBLQ.R . ROTATE_ORTH.R . RcppExports.R . RiskDimensions_doc.R . SCREE.R . SL.R . SMT.R . SPSS_23_doc.R . SPSS_27_doc.R . ULS.R . UPPS_raw_doc.R . VARIMAX.R . WJIV_ages_14_19_doc.R . WJIV_ages_20_39_doc.R . WJIV_ages_3_5_doc.R . WJIV_ages_40_90_doc.R . WJIV_ages_6_8_doc.R . WJIV_ages_9_13_doc.R . helper.R . plot.CD.R . plot.EFA_AVERAGE.R . plot.EKC.R . plot.HULL.R . plot.KGC.R . plot.PARALLEL.R . plot.SCREE.R . population_models_doc.R . print.BARTLETT.R . print.CD.R . print.COMPARE.R . print.EFA.R . print.EFA_AVERAGE.R . print.EKC.R . print.HULL.R . print.KGC.R . print.KMO.R . print.LOADINGS.R . print.N_FACTORS.R . print.OMEGA.R . print.PARALLEL.R . print.SCREE.R . print.SL.R . print.SLLOADINGS.R . print.SMT.R . test_models_doc.R . utils-pipe.R .  Full EFAtools package functions and examples
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