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:
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')) |
- IDAQ - IDAQ database
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:f435b9cc40. Checks:1 OK, 1 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Dec 25 2024 |
R-4.5-linux | NOTE | Dec 25 2024 |
Exports:adequacymatrixeigenceigendfitchifitchi_zeroGreaterLowerBoundhullEFALineConml77mrfamrfa_snrmparallelMRFAsizesrtransposetri
Dependencies:clicolorspacefansifarverggplot2glueGPArotationgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmePCovRpillarpkgconfigplyrpsychR6RColorBrewerRcppreshape2rlangscalesstringistringrThreeWaytibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Dimensionality Assesment using Minimum Rank Factor Analysis (MRFA) | EFA.MRFA-package |
Greater Lower Bound step (glb) | GreaterLowerBound |
Hull method for selecting the number of common factors | hullEFA |
IDAQ database | IDAQ |
Minimum Rank Factor Analysis function | mrfa |
Parallel Analysis using Minimum Rank Factor Analysis (MRFA) | parallelMRFA |