Package: EFA.MRFA 1.1.2

David Navarro-Gonzalez

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.

Authors:David Navarro-Gonzalez, Urbano Lorenzo-Seva

EFA.MRFA_1.1.2.tar.gz
EFA.MRFA_1.1.2.tar.gz(r-4.5-noble)EFA.MRFA_1.1.2.tar.gz(r-4.4-noble)
EFA.MRFA_1.1.2.tgz(r-4.4-emscripten)EFA.MRFA_1.1.2.tgz(r-4.3-emscripten)
EFA.MRFA.pdf |EFA.MRFA.html
EFA.MRFA/json (API)

# Install 'EFA.MRFA' in R:
install.packages('EFA.MRFA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • IDAQ - IDAQ database

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

17 exports 0.91 score 38 dependencies 3 dependents 314 downloads

Last updated 3 years agofrom:f435b9cc40. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-linuxNOTEAug 27 2024

Exports:adequacymatrixeigenceigendfitchifitchi_zeroGreaterLowerBoundhullEFALineConml77mrfamrfa_snrmparallelMRFAsizesrtransposetri

Dependencies:clicolorspacefansifarverggplot2glueGPArotationgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmePCovRpillarpkgconfigplyrpsychR6RColorBrewerRcppreshape2rlangscalesstringistringrThreeWaytibbleutf8vctrsviridisLitewithr