Package: fad 0.9-3
Somak Dutta
fad: Factor Analysis for Data
Compute maximum likelihood estimators of parameters in a Gaussian factor model using the the matrix-free methodology described in Dai et al. (2020) <doi:10.1080/10618600.2019.1704296>. In contrast to the factanal() function from 'stats' package, fad() can handle high-dimensional datasets where number of variables exceed the sample size and is also substantially faster than the EM algorithms.
Authors:
fad_0.9-3.tar.gz
fad_0.9-3.tar.gz(r-4.7-arm64)fad_0.9-3.tar.gz(r-4.7-x86_64)fad_0.9-3.tar.gz(r-4.6-arm64)fad_0.9-3.tar.gz(r-4.6-x86_64)
fad_0.9-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fad/json (API)
| # Install 'fad' in R: |
| install.packages('fad', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/somakd/fad/issues
Last updated from:d8862cb165. Checks:6 OK. Indexed: no.
An Introduction to \texttt{FAD} for Exploratory Factor Analysis with High-dimensional Gaussian Data
Rendered fromfad-vignette.Rnwusingknitr::knitron May 24 2026.Last update: 2025-08-27
Started: 2020-01-24
fad vignette
Rendered fromfad-vignette-knitr.Rnwusingknitr::knitron May 24 2026.Last update: 2025-08-27
Started: 2025-08-27
