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:
fspe_0.1.2.tar.gz
fspe_0.1.2.zip(r-4.5)fspe_0.1.2.zip(r-4.4)fspe_0.1.2.zip(r-4.3)
fspe_0.1.2.tgz(r-4.4-any)fspe_0.1.2.tgz(r-4.3-any)
fspe_0.1.2.tar.gz(r-4.5-noble)fspe_0.1.2.tar.gz(r-4.4-noble)
fspe_0.1.2.tgz(r-4.4-emscripten)fspe_0.1.2.tgz(r-4.3-emscripten)
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
Last updated 2 years agofrom:6d55d644f2. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
