genpca
Generalized Principal Component Analysis
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | genpca_0.2.0.tar.gz |
1.4 MiB |
0.2.0 |
rolling linux/noble R-4.5 | genpca_0.2.0.tar.gz |
1.4 MiB |
0.2.0 |
rolling source/ R- | genpca_0.2.0.tar.gz |
1.1 MiB |
0.2.0 |
latest linux/jammy R-4.5 | genpca_0.2.0.tar.gz |
1.4 MiB |
0.2.0 |
latest linux/noble R-4.5 | genpca_0.2.0.tar.gz |
1.4 MiB |
0.2.0 |
latest source/ R- | genpca_0.2.0.tar.gz |
1.1 MiB |
0.2.0 |
2026-04-23 source/ R- | genpca_0.2.0.tar.gz |
0 B |
Dependencies (latest)
Imports
- Rcpp
- eigencore (>= 1.0.3)
- FNN
- Matrix
- multivarious (>= 0.3.0)
- assertthat
- methods
- digest