1 Factor Model | 2 Main function in FAD
Package: fad 0.9-3
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
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fad_0.9-3.tgz(r-4.6-x86_64)fad_0.9-3.tgz(r-4.6-arm64)fad_0.9-3.tgz(r-4.5-x86_64)fad_0.9-3.tgz(r-4.5-arm64)
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✨
DESCRIPTION
card.svg |card.png
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 from:71e91cafc0. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 154 | ||
| linux-devel-x86_64 | OK | 172 | ||
| source / vignettes | OK | 217 | ||
| linux-release-arm64 | OK | 152 | ||
| linux-release-x86_64 | OK | 182 | ||
| macos-release-arm64 | OK | 104 | ||
| macos-release-x86_64 | OK | 269 | ||
| macos-oldrel-arm64 | OK | 90 | ||
| macos-oldrel-x86_64 | OK | 243 | ||
| windows-devel | OK | 155 | ||
| windows-release | OK | 174 | ||
| windows-oldrel | OK | 130 | ||
| wasm-release | OK | 103 |
