Package: psvd
Version: 1.1-0
Date: 2025-11-22
Title: Eigendecomposition, Singular-Values and the Power Method
Authors@R: person(given = "Doulaye",
	   	  family = "Dembele",
		  role = c("aut","cre"),
	   	  email = "doulaye@igbmc.fr",
		  comment = c(ORCID = "0000-0003-3879-6940"))
Author: Doulaye Dembele [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-3879-6940>)
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>
Depends: R (>= 4.0),
Description: 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.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-09-20 07:35:15 UTC; root
Repository: https://doulaye.r-universe.dev
Date/Publication: 2025-11-23 13:30:02 UTC
RemoteUrl: https://github.com/cran/psvd
RemoteRef: HEAD
RemoteSha: bac75b881915ce226208f889e73171786e8eedb4