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EFA.MRFA: Dimensionality Assessment Using Minimum Rank Factor Analysis

Performs parallel analysis (Timmerman & Lorenzo-Seva, 2011 <doi:10.1037/a0023353>) and hull method (Lorenzo-Seva, Timmerman, & Kiers, 2011 <doi:10.1080/00273171.2011.564527>) for assessing the dimensionality of a set of variables using minimum rank factor analysis (see ten Berge & Kiers, 1991 <doi:10.1007/BF02294464> for more information). The package also includes the option to compute minimum rank factor analysis by itself, as well as the greater lower bound calculation.

Version: 1.1.2
Depends: R (≥ 2.10)
Imports: stats, psych, scales, PCovR, ggplot2, reshape2
Published: 2021-06-16
DOI: 10.32614/CRAN.package.EFA.MRFA
Author: David Navarro-Gonzalez, Urbano Lorenzo-Seva
Maintainer: David Navarro-Gonzalez <david.navarro at urv.cat>
License: GPL-3
NeedsCompilation: no
CRAN checks: EFA.MRFA results

Documentation:

Reference manual: EFA.MRFA.pdf

Downloads:

Package source: EFA.MRFA_1.1.2.tar.gz
Windows binaries: r-devel: EFA.MRFA_1.1.2.zip, r-release: EFA.MRFA_1.1.2.zip, r-oldrel: EFA.MRFA_1.1.2.zip
macOS binaries: r-release (arm64): EFA.MRFA_1.1.2.tgz, r-oldrel (arm64): EFA.MRFA_1.1.2.tgz, r-release (x86_64): EFA.MRFA_1.1.2.tgz, r-oldrel (x86_64): EFA.MRFA_1.1.2.tgz
Old sources: EFA.MRFA archive

Reverse dependencies:

Reverse imports: Rnest, siren, vampyr
Reverse suggests: FAfA

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.