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Provides a collection of standard factor retention methods in Exploratory Factor Analysis (EFA), making it easier to determine the number of factors. Traditional methods such as the scree plot by Cattell (1966) <doi:10.1207/s15327906mbr0102_10>, Kaiser-Guttman Criterion (KGC) by Guttman (1954) <doi:10.1007/BF02289162> and Kaiser (1960) <doi:10.1177/001316446002000116>, and flexible Parallel Analysis (PA) by Horn (1965) <doi:10.1007/BF02289447> based on eigenvalues form PCA or EFA are readily available. This package also implements several newer methods, such as the Empirical Kaiser Criterion (EKC) by Braeken and van Assen (2017) <doi:10.1037/met0000074>, Comparison Data (CD) by Ruscio and Roche (2012) <doi:10.1037/a0025697>, and Hull method by Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, as well as some AI-based methods like Comparison Data Forest (CDF) by Goretzko and Ruscio (2024) <doi:10.3758/s13428-023-02122-4> and Factor Forest (FF) by Goretzko and Buhner (2020) <doi:10.1037/met0000262>. Additionally, it includes a deep neural network (DNN) trained on large-scale datasets that can efficiently and reliably determine the number of factors.
| Version: | 1.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | BBmisc, ddpcr, ineq, MASS, Matrix, mlr, ParamHelpers, proxy, psych, ranger, reticulate, Rcpp, RcppArmadillo, SimCorMultRes, xgboost |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2024-11-19 |
| DOI: | 10.32614/CRAN.package.EFAfactors |
| Author: | Haijiang Qin [aut, cre, cph], Lei Guo [aut, cph] |
| Maintainer: | Haijiang Qin <haijiang133 at outlook.com> |
| License: | GPL-3 |
| URL: | https://haijiangqin.com/EFAfactors/ |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | EFAfactors results |
| Reference manual: | EFAfactors.pdf |
| Package source: | EFAfactors_1.1.1.tar.gz |
| Windows binaries: | r-devel: EFAfactors_1.1.1.zip, r-release: EFAfactors_1.1.1.zip, r-oldrel: EFAfactors_1.1.1.zip |
| macOS binaries: | r-release (arm64): EFAfactors_1.1.1.tgz, r-oldrel (arm64): EFAfactors_1.1.1.tgz, r-release (x86_64): EFAfactors_1.1.1.tgz, r-oldrel (x86_64): EFAfactors_1.1.1.tgz |
| Old sources: | EFAfactors archive |
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These binaries (installable software) and packages are in development.
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