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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 "psvd" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'psvd: Eigendecomposition, Singular-Values and the Power Method'
version: 0.1-0
doi: 10.32614/CRAN.package.psvd
abstract: For a data matrix with m rows and n columns (m>=n), the power method is
  used to compute, simultaneously, the eigendecomposition of a square symmetric matrix.
  This result is used to obtain the singular value decomposition (SVD) and the principal
  component analysis (PCA) results. Compared to the classical SVD method, the first
  r singular values can be computed.
authors:
- family-names: Dembele
  given-names: Doulaye
  email: doulaye@igbmc.fr
  orcid: https://orcid.org/0000-0003-3879-6940
repository: https://doulaye.r-universe.dev
commit: 5cb0c863b9cfd4e97b4d6af736e751f00d43bff0
date-released: '2024-10-02'
contact:
- family-names: Dembele
  given-names: Doulaye
  email: doulaye@igbmc.fr
  orcid: https://orcid.org/0000-0003-3879-6940