genpca-package: genpca: Generalized Principal Component Analysis

In genpca: Generalized Principal Component Analysis

genpca: Generalized Principal Component Analysis

Description

Generalized PCA and related matrix decompositions in weighted inner-product spaces. Methods are based on Allen, G. I., Grosenick, L., and Taylor, J. (2014) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2013.852978")}, "A generalized least-square matrix decomposition", Journal of the American Statistical Association, 109(505), 145-159; and Abdi, H. (2007), "Singular value decomposition (SVD) and generalized singular value decomposition" https://personal.utdallas.edu/~herve/Abdi-SVD2007-pretty.pdf, in "Encyclopedia of Measurement and Statistics", 907-912.

Author(s)

Maintainer: Brad Buchsbaum [e-mail] [copyright holder]

See Also

Useful links:

• https://bbuchsbaum.github.io/genpca/

• https://github.com/bbuchsbaum/genpca

• Report bugs at https://github.com/bbuchsbaum/genpca/issues

genpca documentation built on Sept. 17, 2026, 1:09 a.m.