Package: fspe 0.1.2

fspe: Estimating the Number of Factors in EFA with Out-of-Sample Prediction Errors

Estimating the number of factors in Exploratory Factor Analysis (EFA) with out-of-sample prediction errors using a cross-validation scheme. Haslbeck & van Bork (Preprint) <https://psyarxiv.com/qktsd>.

Authors:Jonas Haslbeck [aut, cre], Riet van Bork [ctb]

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fspe.pdf |fspe.html
fspe/json (API)
NEWS

# Install 'fspe' in R:
install.packages('fspe', repos = c('https://jmbh.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jmbh/fspe/issues

Datasets:
  • holzinger19 - Psychometric example data set by Holzinger & Swineford

On CRAN:

Conda:

3.18 score 1 stars 1 packages 2 scripts 211 downloads 2 exports 6 dependencies

Last updated 2 years agofrom:6d55d644f2. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:fspeimpCov

Dependencies:corpcorGPArotationlatticemnormtnlmepsych