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: 0.1-0
Imports: irlba, methods, stats
Suggests: cvCovEst, mvtnorm, testthat (≥ 3.0.0)
Published: 2024-03-29
Author: Jan O. Bauer ORCID iD [aut, cre], Ron Holzapfel [aut]
Maintainer: Jan O. Bauer <j.bauer at vu.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: bdsvd results

Documentation:

Reference manual: bdsvd.pdf

Downloads:

Package source: bdsvd_0.1-0.tar.gz
Windows binaries: r-prerel: bdsvd_0.1-0.zip, r-release: bdsvd_0.1-0.zip, r-oldrel: bdsvd_0.1-0.zip
macOS binaries: r-prerel (arm64): bdsvd_0.1-0.tgz, r-release (arm64): bdsvd_0.1-0.tgz, r-oldrel (arm64): bdsvd_0.1-0.tgz, r-prerel (x86_64): bdsvd_0.1-0.tgz, r-release (x86_64): bdsvd_0.1-0.tgz

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