bdsvd: Block Structure Detection Using Singular Vectors

Performs block diagonal covariance matrix detection using singular vectors (BD-SVD), which can be extended to hierarchical variable clustering (HC-SVD). The methods are described in Bauer (202Xa) <doi:10.48550/arXiv.2211.16155> and Bauer (202Xb) <doi:10.48550/arXiv.2308.06820>.

Version: 0.2.0
Imports: irlba, methods, stats
Suggests: cvCovEst, mvtnorm, testthat (≥ 3.0.0)
Published: 2024-07-06
DOI: 10.32614/CRAN.package.bdsvd
Author: Jan O. Bauer ORCID iD [aut, cre], Ron Holzapfel [aut]
Maintainer: Jan O. Bauer <j.bauer at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: bdsvd results


Reference manual: bdsvd.pdf


Package source: bdsvd_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bdsvd_0.2.0.tgz, r-oldrel (arm64): bdsvd_0.2.0.tgz, r-release (x86_64): bdsvd_0.2.0.tgz, r-oldrel (x86_64): bdsvd_0.2.0.tgz
Old sources: bdsvd archive


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