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genpca  

Generalized Principal Component Analysis
View on CRAN: Click here


Download and install genpca package within the R console
Install from CRAN:
install.packages("genpca")

Install from Github:
library("remotes")
install_github("cran/genpca")

Install by package version:
library("remotes")
install_version("genpca", "0.2.1")



Attach the package and use:
library("genpca")
Maintained by
Brad Buchsbaum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-16
Latest Update: 2026-09-16
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) <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.
How to cite:
Brad Buchsbaum (2026). genpca: Generalized Principal Component Analysis. R package version 0.2.1, https://cran.r-project.org/web/packages/genpca. Accessed 03 Nov. 2026.
Previous versions and publish date:
(2026-10-26 08:11), 0.2.0 (2026-09-15 12:50), 0.2.1 (2026-09-17 01:40)
Other packages that cited genpca R package
View genpca citation profile
Other R packages that genpca depends, imports, suggests or enhances
Complete documentation for genpca
Functions, R codes and Examples using the genpca R package
Full genpca package functions and examples
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