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bdsvd: Block Structure Detection Using Singular Vectors
Provides methods to perform block diagonal covariance matrix detection using singular vectors ('BD-SVD'), which can be extended to inherently sparse principal component analysis ('IS-PCA'). The methods are described in Bauer (2025) <doi:10.1080/10618600.2024.2422985> and Bauer (2026) <doi:10.48550/arXiv.2510.03729>.
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Package details |
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| Author | Jan O. Bauer [aut, cre] (ORCID: <https://orcid.org/0000-0001-7123-4507>), Ron Holzapfel [aut] |
| Maintainer | Jan O. Bauer <j.bauer@vu.nl> |
| License | GPL (>= 2) |
| Version | 1.2.1 |
| Package repository | View on CRAN |
| Installation |
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