Package: pPCA
Type: Package
Title: Partial Principal Component Analysis of Partitioned Large Sparse
        Matrices
Version: 1.1
Date: 2024-10-22
Authors@R: c(
    person("Srika", "Raja", , "sri1919@iastate.edu", c("aut", "cre")),
    person("Somak", "Dutta", , "somakd@iastate.edu", "aut")
    )
Maintainer: Srika Raja <sri1919@iastate.edu>
Description: Performs partial principal component analysis of a large
        sparse matrix. The matrix may be stored as a list of matrices
        to be concatenated (implicitly) horizontally. Useful
        application includes cases where the number of total nonzero
        entries exceed the capacity of 32 bit integers (e.g., with
        large Single Nucleotide Polymorphism data).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.2), methods, RSpectra (>= 0.16-1)
Imports: Matrix (>= 1.1-0), Rcpp (>= 0.11.5)
LinkingTo: Rcpp
NeedsCompilation: yes
Suggests: ggbiplot
RoxygenNote: 7.3.2
Repository: https://srika1919.r-universe.dev
Date/Publication: 2024-10-22 05:43:26 UTC
RemoteUrl: https://github.com/srika1919/ppca
RemoteRef: HEAD
RemoteSha: d10b4d5570475852556fd08cef0088e37a182f2b
Packaged: 2026-10-07 09:42:17 UTC; root
Author: Srika Raja [aut, cre],
  Somak Dutta [aut]