Package: bdsvd 0.2.0
Jan O. Bauer
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>.
Authors:
bdsvd_0.2.0.tar.gz
bdsvd_0.2.0.tar.gz(r-4.5-noble)bdsvd_0.2.0.tar.gz(r-4.4-noble)
bdsvd_0.2.0.tgz(r-4.4-emscripten)bdsvd_0.2.0.tgz(r-4.3-emscripten)
bdsvd.pdf |bdsvd.html✨
bdsvd/json (API)
| # Install 'bdsvd' in R: |
| install.packages('bdsvd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:b1c8873197. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
Exports:bdsvdbdsvd.cov.simbdsvd.htbdsvd.structuredetect.blockshcsvdhcsvd.cor.simsingle.bdsvd
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Block Detection Using Singular Vectors (BD-SVD). | bdsvd |
| Covariance Matrix Simulation for BD-SVD | bdsvd.cov.sim |
| Hyperparameter Tuning for BD-SVD | bdsvd.ht |
| Data Matrix Structure According to the Detected Block Structure. | bdsvd.structure |
| Block | block-class |
| Block Detection | detect.blocks |
| Hierarchical Variable Clustering Using Singular Vectors (HC-SVD). | hcsvd |
| Correlation Matrix Simulation for HC-SVD | hcsvd.cor.sim |
| Single Iteration of Block Detection Using Singular Vectors (BD-SVD). | single.bdsvd |