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EFA.MRFA  

Dimensionality Assessment Using Minimum Rank Factor Analysis
View on CRAN: Click here


Download and install EFA.MRFA package within the R console
Install from CRAN:
install.packages("EFA.MRFA")

Install from Github:
library("remotes")
install_github("cran/EFA.MRFA")

Install by package version:
library("remotes")
install_version("EFA.MRFA", "1.1.2")



Attach the package and use:
library("EFA.MRFA")
Maintained by
David Navarro-Gonzalez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-14
Latest Update: 2021-06-16
Description:
Performs parallel analysis (Timmerman & Lorenzo-Seva, 2011 ) and hull method (Lorenzo-Seva, Timmerman, & Kiers, 2011 ) for assessing the dimensionality of a set of variables using minimum rank factor analysis (see ten Berge & Kiers, 1991 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.
How to cite:
David Navarro-Gonzalez (2019). EFA.MRFA: Dimensionality Assessment Using Minimum Rank Factor Analysis. R package version 1.1.2, https://cran.r-project.org/web/packages/EFA.MRFA. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0.5 (2019-06-14 12:50), 1.0.6 (2019-12-04 13:20), 1.0.7 (2020-01-09 14:40), 1.0.9 (2020-04-17 14:10)
Other packages that cited EFA.MRFA R package
View EFA.MRFA citation profile
Other R packages that EFA.MRFA depends, imports, suggests or enhances
Complete documentation for EFA.MRFA
Functions, R codes and Examples using the EFA.MRFA R package
Some associated functions: EFA.MRFA-internal . EFA.MRFA-package . GreaterLowerBound . IDAQ . hullEFA . mrfa . parallelMRFA . 
Some associated R codes: GreaterLowerBound.R . LineCon.R . adequacymatrix.R . eigenc.R . eigend.R . fitchi.R . fitchi_zero.R . hullEFA.R . ml77.R . mrfa.R . mrfa_s.R . nrm.R . parallelMRFA.R . size.R . sr.R . transpose.R . tri.R .  Full EFA.MRFA package functions and examples
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