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sdim

An R Package for Supervised Dimension Reduction

Implements five factor extraction methods for asset pricing and macroeconomic forecasting: principal component analysis (PCA), partial least squares (PLS), scaled PCA (sPCA) of Huang, Jiang, Li, Tong, and Zhou (2022) <doi:10.1287/mnsc.2021.4020>, the reduced-rank approach (RRA) of He, Huang, Li, and Zhou (2023) <doi:10.1287/mnsc.2022.4563>, and Instrumented PCA (IPCA) of Kelly, Pruitt, and Su (2019) <doi:10.1016/j.jfineco.2019.05.001>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 sdim_0.1.0.tar.gz 1.5 MiB
0.1.0 rolling linux/noble R-4.5 sdim_0.1.0.tar.gz 1.5 MiB
0.1.0 rolling source/ R- sdim_0.1.0.tar.gz 1.1 MiB
0.1.0 latest linux/jammy R-4.5 sdim_0.1.0.tar.gz 1.5 MiB
0.1.0 latest linux/noble R-4.5 sdim_0.1.0.tar.gz 1.5 MiB
0.1.0 latest source/ R- sdim_0.1.0.tar.gz 1.1 MiB
0.1.0 2026-04-23 source/ R- sdim_0.1.0.tar.gz 0 B

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