The FPCdpca Criterion on Distributed Principal Component Analysis

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) .


Reference manual

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install.packages("FPCdpca")

0.4.0 by Guangbao Guo, 9 months ago


Browse source code at https://github.com/cran/FPCdpca


Authors: Guangbao Guo [aut, cre] (ORCID: , Jiarui Li [aut]


Documentation:   PDF Manual  


Apache License (== 2.0) license


Imports matrixcalc, rsvd, stats

Suggests testthat


See at CRAN