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l1rotation: Identify Loading Vectors under Sparsity in Factor Models

Simplify the loading matrix in factor models using the l1 criterion as proposed in Freyaldenhoven (2025) <doi:10.21799/frbp.wp.2020.25>. Given a data matrix, find the rotation of the loading matrix with the smallest l1-norm and/or test for the presence of local factors with main function local_factors().

Version: 1.0.1
Depends: R (≥ 3.5)
Imports: cli, doParallel, dplyr, foreach, ggplot2, magrittr, matrixStats, pracma, scales, stats
Suggests: knitr, quarto, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-05-20
DOI: 10.32614/CRAN.package.l1rotation
Author: Simon Freyaldenhoven [aut, cph], Ryan Kobler [aut, cre]
Maintainer: Ryan Kobler <kobleary at gmail.com>
BugReports: https://github.com/SimonFreyaldenhoven/l1rotation/issues
License: MIT + file LICENSE
URL: https://kobleary.github.io/l1rotation/, https://github.com/SimonFreyaldenhoven/l1rotation
NeedsCompilation: no
Citation: l1rotation citation info
Materials: README NEWS
CRAN checks: l1rotation results

Documentation:

Reference manual: l1rotation.pdf
Vignettes: documentation (source, R code)

Downloads:

Package source: l1rotation_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: l1rotation_1.0.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): l1rotation_1.0.1.tgz, r-oldrel (arm64): l1rotation_1.0.1.tgz, r-release (x86_64): l1rotation_1.0.1.tgz, r-oldrel (x86_64): l1rotation_1.0.1.tgz

Linking:

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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.