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/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

2 exports 1 stars 1.02 score 6 dependencies 1 dependents 2 scripts 251 downloads

Last updated 1 years agofrom:6d55d644f2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:fspeimpCov

Dependencies:corpcorGPArotationlatticemnormtnlmepsych