Package: EFA.MRFA 1.1.2

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.zip(r-4.7)EFA.MRFA_1.1.2.zip(r-4.6)EFA.MRFA_1.1.2.zip(r-4.5)
EFA.MRFA_1.1.2.tgz(r-4.6-any)EFA.MRFA_1.1.2.tgz(r-4.5-any)
EFA.MRFA_1.1.2.tar.gz(r-4.7-any)EFA.MRFA_1.1.2.tar.gz(r-4.6-any)
EFA.MRFA_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
EFA.MRFA/json (API)

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

On CRAN:

Conda:

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

1.95 score 3 packages 336 downloads 17 exports 32 dependencies

Last updated from:f435b9cc40. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE113
source / vignettesOK156
linux-release-x86_64NOTE122
macos-release-arm64NOTE162
macos-oldrel-arm64NOTE138
windows-develNOTE84
windows-releaseNOTE82
windows-oldrelNOTE93
wasm-releaseOK101

Exports:adequacymatrixeigenceigendfitchifitchi_zeroGreaterLowerBoundhullEFALineConml77mrfamrfa_snrmparallelMRFAsizesrtransposetri

Dependencies:clicpp11farverggplot2glueGPArotationgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmnormtnlmePCovRplyrpsychR6RColorBrewerRcppreshape2rlangS7scalesstringistringrThreeWayvctrsviridisLitewithr