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

Documentation:

Reference manual:

fspe.pdf

Downloads:

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

Linking:

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