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 (2024) <doi:10.1080/10618600.2024.2422985> and Bauer (202X) <doi:10.48550/arXiv.2308.06820>.
| Version: | 0.2.1 |
| Imports: | irlba, methods, stats |
| Suggests: | cvCovEst, mvtnorm, testthat (≥ 3.0.0) |
| Published: | 2025-01-08 |
| DOI: | 10.32614/CRAN.package.bdsvd |
| Author: | Jan O. Bauer 
[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_0.2.1.tar.gz |
| Windows binaries: | r-devel: bdsvd_0.2.1.zip, r-release: bdsvd_0.2.1.zip, r-oldrel: bdsvd_0.2.1.zip |
| macOS binaries: | r-release (arm64): bdsvd_0.2.1.tgz, r-oldrel (arm64): bdsvd_0.2.1.tgz, r-release (x86_64): bdsvd_0.2.1.tgz, r-oldrel (x86_64): bdsvd_0.2.1.tgz |
| Old sources: | bdsvd archive |
Linking:
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