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fad  

Factor Analysis for Data
View on CRAN: Click here


Download and install fad package within the R console
Install from CRAN:
install.packages("fad")

Install from Github:
library("remotes")
install_github("cran/fad")

Install by package version:
library("remotes")
install_version("fad", "0.9-3")



Attach the package and use:
library("fad")
Maintained by
Somak Dutta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-24
Latest Update: 2022-05-01
Description:
Compute maximum likelihood estimators of parameters in a Gaussian factor model using the the matrix-free methodology described in Dai et al. (2020) . 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.
How to cite:
Somak Dutta (2020). fad: Factor Analysis for Data. R package version 0.9-3, https://cran.r-project.org/web/packages/fad. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 0.2-1 (2020-01-24 19:20), 0.3-3 (2021-01-10 19:50), 0.9-1 (2022-05-01 16:20)
Other packages that cited fad R package
View fad citation profile
Other R packages that fad depends, imports, suggests or enhances
Complete documentation for fad
Functions, R codes and Examples using the fad R package
Some associated functions: fad . fads . print.fad . print.fads . 
Some associated R codes: AECM_cycle.R . CartToSph.R . Find_Leig.R . LLk_Dir.R . Mu.R . Mu_SQ.R . RcppExports.R . SphToCart.R . fads.R . random-initial.R .  Full fad package functions and examples
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