bdsvd
Block Structure Detection Using Singular Vectors
v1.2.1
·
Mar 26, 2026
·
GPL (>= 2)
Description
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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Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (2 non-OK)
NOTE
r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespace in Imports field not imported from: ‘matrixStats’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespace in Imports field not imported from: ‘matrixStats’ All declared Imports should be used.
Check History
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 27, 2026
NOTE
r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespace in Imports field not imported from: ‘matrixStats’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespace in Imports field not imported from: ‘matrixStats’ All declared Imports should be used.