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>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: psych, corpcor
Published: 2023-03-28
DOI: 10.32614/CRAN.package.fspe
Author: Jonas Haslbeck [aut, cre], Riet van Bork [ctb]
Maintainer: Jonas Haslbeck <jonashaslbeck at gmail.com>
BugReports: https://github.com/jmbh/fspe/issues
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: fspe results


Reference manual: fspe.pdf


Package source: fspe_0.1.2.tar.gz
Windows binaries: r-devel: fspe_0.1.2.zip, r-release: fspe_0.1.2.zip, r-oldrel: fspe_0.1.2.zip
macOS binaries: r-release (arm64): fspe_0.1.2.tgz, r-oldrel (arm64): fspe_0.1.2.tgz, r-release (x86_64): fspe_0.1.2.tgz, r-oldrel (x86_64): fspe_0.1.2.tgz
Old sources: fspe archive

Reverse dependencies:

Reverse imports: latentFactoR


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