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factorselect: Eigenvalue-Based Estimation of the Number of Factors in Approximate Factor Models

Eigenvalue-based estimation of the number of factors in approximate factor models. Designed to work when either N or T is large, without requiring both dimensions to grow simultaneously. Implements the eigenvalue ratio estimator of Ahn and Horenstein (2013) <doi:10.3982/ECTA8968>, the information criteria of Bai and Ng (2002) <doi:10.1111/1468-0262.00273>, the tuned penalty of Alessi, Barigozzi and Capasso (2010) <doi:10.1016/j.spl.2010.08.005>, the auto-covariance ratio estimator of Lam and Yao (2012) <doi:10.1214/12-AOS970>, and the edge distribution estimators of Onatski (2009) <doi:10.3982/ECTA6964> and Onatski (2010) <doi:10.1162/REST_a_00043>.

Version: 0.1.3
Suggests: RSpectra, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-04-28
DOI: 10.32614/CRAN.package.factorselect
Author: Jason Parker ORCID iD [aut, cre]
Maintainer: Jason Parker <jparker588 at gmail.com>
BugReports: https://github.com/penny4nonsense/factorselect/issues
License: MIT + file LICENSE
URL: https://github.com/penny4nonsense/factorselect
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: factorselect results

Documentation:

Reference manual: factorselect.html , factorselect.pdf
Vignettes: Introduction to factorselect (source, R code)

Downloads:

Package source: factorselect_0.1.3.tar.gz
Windows binaries: r-devel: factorselect_0.1.3.zip, r-release: factorselect_0.1.3.zip, r-oldrel: factorselect_0.1.3.zip
macOS binaries: r-release (arm64): factorselect_0.1.3.tgz, r-oldrel (arm64): factorselect_0.1.3.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=factorselect to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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