Package: fad 0.9-1

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:Somak Dutta [aut, cre], Fan Dai [aut], Ranjan Maitra [ctb]

fad_0.9-1.tar.gz
fad_0.9-1.tar.gz(r-4.5-noble)fad_0.9-1.tar.gz(r-4.4-noble)
fad_0.9-1.tgz(r-4.4-emscripten)fad_0.9-1.tgz(r-4.3-emscripten)
fad.pdf |fad.html
fad/json (API)

# Install 'fad' in R:
install.packages('fad', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/somakd/fad/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

2.00 score 4 scripts 227 downloads 2 exports 5 dependencies

Last updated 3 years agofrom:ea145234d9. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linux-x86_64OKDec 21 2024

Exports:fadfads

Dependencies:latticeMatrixRcppRcppEigenRSpectra

fad vignette

Rendered fromfad-vignette.Rnwusingknitr::knitron Dec 21 2024.

Last update: 2021-01-10
Started: 2020-01-24