Package: fad 0.9-2
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_0.9-2.tar.gz
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fad.pdf |fad.html✨
fad/json (API)
| # Install 'fad' in R: |
| install.packages('fad', repos = c('https://somakd.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/somakd/fad/issues
Last updated 9 months agofrom:94f1548d02. Checks:ERROR: 1 WARNING: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | FAIL | Nov 06 2024 |
| R-4.5-win-x86_64 | WARNING | Nov 06 2024 |
| R-4.5-linux-x86_64 | WARNING | Nov 06 2024 |
| R-4.4-win-x86_64 | WARNING | Nov 06 2024 |
| R-4.4-mac-x86_64 | WARNING | Nov 06 2024 |
| R-4.4-mac-aarch64 | WARNING | Nov 06 2024 |
| R-4.3-win-x86_64 | WARNING | Nov 06 2024 |
| R-4.3-mac-x86_64 | WARNING | Nov 06 2024 |
| R-4.3-mac-aarch64 | WARNING | Nov 06 2024 |
