Package: psvd 0.1-0

Doulaye Dembele

psvd: Eigendecomposition, Singular-Values and the Power Method

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:Doulaye Dembele [aut, cre]

psvd_0.1-0.tar.gz
psvd_0.1-0.tar.gz(r-4.5-noble)psvd_0.1-0.tar.gz(r-4.4-noble)
psvd_0.1-0.tgz(r-4.4-emscripten)psvd_0.1-0.tgz(r-4.3-emscripten)
psvd.pdf |psvd.html
psvd/json (API)

# Install 'psvd' in R:
install.packages('psvd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 exports 0 dependencies

Last updated 5 days agofrom:5cb0c863b9. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024

Exports:calcPCAcalcSVDeigenVeigenVcmGSmGSc

Dependencies: