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
Packaged: 2024-10-22 06:14:10 UTC; srika
Author: Srika Raja [aut, cre],
  Somak Dutta [aut]
Repository: CRAN
Date/Publication: 2024-10-22 06:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 19:23:36 UTC; unix
Archs: pPCA.so.dSYM
