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-4.7-any)fspe_0.1.2.zip(r-4.6-any)fspe_0.1.2.zip(r-4.5-any)
fspe_0.1.2.tgz(r-4.6-any)fspe_0.1.2.tgz(r-4.5-any)
fspe_0.1.2.tar.gz(r-4.7-any)fspe_0.1.2.tar.gz(r-4.6-any)
fspe_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fspe/json (API)
| # 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 from:6d55d644f2. Checks:9 OK. Indexed: yes.
