This package is considered a duplicate. The official version of this package is found at:https://mdsteiner.r-universe.dev/EFAtools

Package: EFAtools 0.7.1

Markus Steiner

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++.

Authors: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], Johan Braeken [ctb], Andreas Soteriades [ctb]

EFAtools_0.7.1.tar.gz
EFAtools_0.7.1.tar.gz(r-4.7-arm64)EFAtools_0.7.1.tar.gz(r-4.7-x86_64)EFAtools_0.7.1.tar.gz(r-4.6-arm64)EFAtools_0.7.1.tar.gz(r-4.6-x86_64)
EFAtools_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EFAtools/json (API)
NEWS

# Install 'EFAtools' in R:

install.packages('EFAtools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mdsteiner/efatools/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

DOSPERT - DOSPERT
DOSPERT_raw - DOSPERT_raw
GRiPS_raw - GRiPS_raw
IDS2_R - Intelligence subtests from the Intelligence and Development Scales-2
population_models - Population_models
RiskDimensions - RiskDimensions
SPSS_23 - Various outputs from SPSS (version 23) FACTOR
SPSS_27 - Various outputs from SPSS (version 27) FACTOR
test_models - Four test models used in Grieder and Steiner
UPPS_raw - UPPS_raw
WJIV_ages_14_19 - Woodcock Johnson IV: ages 14 to 19
WJIV_ages_20_39 - Woodcock Johnson IV: ages 20 to 39
WJIV_ages_3_5 - Woodcock Johnson IV: ages 3 to 5
WJIV_ages_40_90 - Woodcock Johnson IV: ages 40 to 90 plus
WJIV_ages_6_8 - Woodcock Johnson IV: ages 6 to 8
WJIV_ages_9_13 - Woodcock Johnson IV: ages 9 to 13

On CRAN:

openblas cpp openmp

5.77 score 2 packages 107 scripts 2.3k downloads 1 mentions 22 exports 57 dependencies

Last updated from:2b7fdbe939. Checks:4 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	NOTE	419
linux-devel-x86_64	NOTE	388
source / vignettes	OK	378
linux-release-arm64	NOTE	403
linux-release-x86_64	NOTE	565
wasm-release	OK	153

Exports:%>%BARTLETT CD COMPARE CONSENSUS_PROCRUSTES EFA EFA_AVERAGE EFA_POOLED EKC FACTOR_SCORES HULL KGC KMO MAP N_FACTORS NEST OMEGA PARALLEL PROCRUSTES SCREE SL SMT

Dependencies:backports checkmate cli clue cluster codetools cpp11 crayon digest dplyr farver future future.apply generics ggplot2 globals glue GPArotation gtable hms isoband labeling lattice lavaan lifecycle listenv magrittr MASS mnormt nlme numDeriv parallelly pbivnorm pillar pkgconfig prettyunits progress progressr psych purrr quadprog R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

EFAtools

Rendered fromEFAtools.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2025-03-21
Started: 2020-07-07

Replicate SPSS and R psych results with EFAtools

Rendered fromReplicate_SPSS_psych.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2022-03-21
Started: 2020-09-17

Help page	Topics
Average a list of matrices elementwise	.average_matrices
Confidence intervals around mean	.calc_cis
Covert a '"LOADINGS"' table to matrix or a matrix to '"LOADINGS"'	.change_class
Compute explained variances from loadings	.compute_vars
Mean squared discrepancy to a consensus target	.consensus_loss
Internal single-start consensus engine	.consensus_target_procrustes_single
Extract a list object by its name	.extract_list_object
Compute number of non-matching indicator-to-factor correspondences	.factor_corres
Count near-zero loadings	.hyperplane_count
Get reference values for nest.	.nest_sym
Format numbers for print method	.numformat
Oblique Procrustes target rotation using a k x k inner objective	.oblique_procrustes
Closed-form orthogonal Procrustes rotation	.orthogonal_procrustes
Perform the iterative PAF procedure	.paf_iter
Parallel analysis on simulated data.	.parallel_sim
Calculate statistics for a list of matrices	.stat_over_list
Tucker congruence between factors	.tucker_congruence
Bartlett's test of sphericity	BARTLETT
Comparison Data	CD
Compare two vectors or matrices (communalities or loadings)	COMPARE
Consensus Procrustes alignment across multiple loading matrices	CONSENSUS_PROCRUSTES
DOSPERT	DOSPERT
DOSPERT_raw	DOSPERT_raw
Exploratory factor analysis (EFA)	EFA
Model averaging across different EFA methods and types	EFA_AVERAGE
Exploratory factor analysis on multiple data imputations	EFA_POOLED
Empirical Kaiser Criterion	EKC
Estimate factor scores for an EFA model	FACTOR_SCORES
GRiPS_raw	GRiPS_raw
Hull method for determining the number of factors to retain	HULL
Intelligence subtests from the Intelligence and Development Scales-2	IDS2_R
Kaiser-Guttman Criterion	KGC
Kaiser-Meyer-Olkin criterion	KMO
Velicer's Minimum Average Partial (MAP) Criterion	MAP
Various Factor Retention Criteria	N_FACTORS
Next eigenvalue sufficiency test (NEST)	NEST
McDonald's omega	OMEGA
Parallel analysis	PARALLEL
Plot CD object	plot.CD
Plot EFA_AVERAGE object	plot.EFA_AVERAGE
Plot EKC object	plot.EKC
Plot HULL object	plot.HULL
Plot KGC object	plot.KGC
Plot PARALLEL object	plot.PARALLEL
Plot SCREE object	plot.SCREE
population_models	population_models
Print BARTLETT object	print.BARTLETT
Print function for CD objects	print.CD
Print COMPARE object	print.COMPARE
Print EFA object	format.EFA format.EFA_POOLED print.EFA print.EFA_POOLED
Print EFA_AVERAGE object	print.EFA_AVERAGE
Print function for EKC objects	print.EKC
Print function for HULL objects	print.HULL
Print function for KGC objects	print.KGC
Print KMO object	print.KMO
Print LOADINGS object	format.LOADINGS print.LOADINGS
Print function for MAP objects	print.MAP
Print function for N_FACTORS objects	print.N_FACTORS
Print function for NEST objects	print.NEST
Print OMEGA object	print.OMEGA
Print function for PARALLEL objects	print.PARALLEL
Print function for SCREE objects	print.SCREE
Print SL object	print.SL
Print SLLOADINGS object	print.SLLOADINGS
Print SMT object	print.SMT
Rotate a loading matrix to a target using Procrustes alignment	PROCRUSTES
Residuals function for EFA objects	residuals.EFA
RiskDimensions	RiskDimensions
Scree Plot	SCREE
Schmid-Leiman Transformation	SL
Sequential Chi Square Model Tests, RMSEA lower bound, and AIC	SMT
Various outputs from SPSS (version 23) FACTOR	SPSS_23
Various outputs from SPSS (version 27) FACTOR	SPSS_27
Four test models used in Grieder and Steiner (2020)	test_models
UPPS_raw	UPPS_raw
Woodcock Johnson IV: ages 14 to 19	WJIV_ages_14_19
Woodcock Johnson IV: ages 20 to 39	WJIV_ages_20_39
Woodcock Johnson IV: ages 3 to 5	WJIV_ages_3_5
Woodcock Johnson IV: ages 40 to 90 plus	WJIV_ages_40_90
Woodcock Johnson IV: ages 6 to 8	WJIV_ages_6_8
Woodcock Johnson IV: ages 9 to 13	WJIV_ages_9_13

Package: EFAtools 0.7.1

EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

EFAtools

Replicate SPSS and R psych results with EFAtools

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)