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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().

Versions across snapshots

VersionRepositoryFileSize
1.0.1 rolling linux/jammy R-4.5 l1rotation_1.0.1.tar.gz 461.1 KiB
1.0.1 rolling linux/noble R-4.5 l1rotation_1.0.1.tar.gz 460.9 KiB
1.0.1 rolling source/ R- l1rotation_1.0.1.tar.gz 4.7 MiB
1.0.1 latest linux/jammy R-4.5 l1rotation_1.0.1.tar.gz 461.1 KiB
1.0.1 latest linux/noble R-4.5 l1rotation_1.0.1.tar.gz 460.9 KiB
1.0.1 latest source/ R- l1rotation_1.0.1.tar.gz 4.7 MiB
1.0.1 2026-04-26 source/ R- l1rotation_1.0.1.tar.gz 4.7 MiB
1.0.1 2026-04-23 source/ R- l1rotation_1.0.1.tar.gz 4.7 MiB
1.0.1 2026-04-09 windows/windows R-4.5 l1rotation_1.0.1.zip 463.4 KiB

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