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The l1rotation package implements the l1-rotation
criterion of Freyaldenhoven
(2025) to simplify the loading matrix in factor models.
# Install from CRAN
install.packages("l1rotation")
# Install latest version from GitHub
install.packages("devtools")
devtools::install_github("SimonFreyaldenhoven/l1rotation")Find a minimal example below. For more information see the package website, documentation and vignette.
library(l1rotation)
set.seed(916)
# Minimal example with 2 factors, where X is a 224 by 207 matrix
lf <- local_factors(X = example_data, r = 2)
# Rerun with parallel processing
lf_lambdas <- local_factors(X = example_data, r = 2, parallel = TRUE, n_cores = 10)
# Visualize Principal Component estimate of the loadings
lf$pc_plot
# Visualize l1-rotation loadings
lf$rotated_plot
Simon Freyaldenhoven. “Identification Through Sparsity in Factor Models: the l1-rotation criterion.” Philadelphia Fed Working Paper 20-25, February 2025.
Simon Freyaldenhoven, Ryan Kobler. “l1rotation package.”
Code and data repository at https://github.com/SimonFreyaldenhoven/l1rotation, March
2025.
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.