FPCdpca
0.4.0The FPCdpca Criterion on Distributed Principal Component Analysis
0packages depend
4.3Kdownloads / year
0.0%test coverage
13/13checks pass
Overview
About
We consider optimal subset selection in the setting that one needs to use only one data subset to represent the whole data set with minimum information loss, and devise a novel intersection-based criterion on selecting optimal subset, called as the FPC criterion, to handle with the optimal sub-estimator in distributed principal component analysis; That is, the FPCdpca. The philosophy of the package is described in Guo G. (2025) doi:10.1016/j.physa.2024.130308.
Install
Health
CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Check history
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation signals are not tracked yet for this package.
Downloads
4.3K
CRAN downloads in the past year
Rank #21,591 · ~12/day · ~361/mo
FPCdpca
Daily download trend is not available in this view yet.
18030 days
53890 days
4.3K1 year
Also on156 r2u35 autocran
Dependencies
Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
matrixcalcrsvdstats
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Nothing depends on this yet.
Code & Tests
Datasets
People & History
People (2)
Maintainer (1)
Author, Maintainer · added in 0.2.0
Authors (2)
Author, Maintainer · added in 0.2.0
Author · added in 0.2.0
Package metadata
- First published
- 2024-05-27
- Total releases
- 4 / 2 yrs
- License
- Apache License (== 2.0)
- Download size
- 2.0 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet