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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "pPCA" in publications use:'
type: software
license: GPL-3.0-only
title: 'pPCA: Partial Principal Component Analysis of Partitioned Large Sparse Matrices'
version: '1.1'
doi: 10.32614/CRAN.package.pPCA
abstract: 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).
authors:
- family-names: Raja
  given-names: Srika
  email: sri1919@iastate.edu
- family-names: Dutta
  given-names: Somak
  email: somakd@iastate.edu
repository: https://srika1919.r-universe.dev
commit: d10b4d5570475852556fd08cef0088e37a182f2b
date-released: '2024-10-22'
contact:
- family-names: Raja
  given-names: Srika
  email: sri1919@iastate.edu