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]

fspe_0.1.2.tar.gz
fspe_0.1.2.zip(r-4.6)fspe_0.1.2.zip(r-4.5)
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-4.6-any)fspe_0.1.2.tar.gz(r-4.5-any)
fspe_0.1.2.tgz(r-4.5-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

On CRAN:

Conda:

3.18 score 1 stars 1 packages 2 scripts 155 downloads 2 exports 6 dependencies

Last updated from:6d55d644f2. Checks:8 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK149
linux-release-x86_64OK100
macos-devel-arm64OK90
macos-release-arm64OK67
windows-develOK78
windows-releaseOK70
wasm-releaseOK84

Exports:fspeimpCov

Dependencies:corpcorGPArotationlatticemnormtnlmepsych