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: 2025-11-23 09:51:45 UTC; doulaye
Repository: CRAN
Date/Publication: 2025-11-23 13:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 21:23:29 UTC; unix
Archs: psvd.so.dSYM
