Package: bcv 1.0.2
bcv: Cross-Validation for the SVD (Bi-Cross-Validation)
Methods for choosing the rank of an SVD (singular value decomposition) approximation via cross validation. The package provides both Gabriel-style "block" holdouts and Wold-style "speckled" holdouts. It also includes an implementation of the SVDImpute algorithm. For more information about Bi-cross-validation, see Owen & Perry's 2009 AoAS article (at <arxiv:0908.2062>) and Perry's 2009 PhD thesis (at <arxiv:0909.3052>).
Authors:
bcv_1.0.2.tar.gz
bcv_1.0.2.tar.gz(r-4.5-noble)bcv_1.0.2.tar.gz(r-4.4-noble)
bcv_1.0.2.tgz(r-4.4-emscripten)bcv_1.0.2.tgz(r-4.3-emscripten)
bcv.pdf |bcv.html✨
bcv/json (API)
# Install 'bcv' in R: |
install.packages('bcv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/michbur/bcv/issues
Last updated 2 years agofrom:4d6cfd919c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-linux-x86_64 | OK | Nov 18 2024 |
Exports:cv.svd.gabrielcv.svd.woldimpute.svd
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cross-Validation for the SVD (Bi-Cross-Validation) | bcv-package bcv |
Cross-Validation for choosing the rank of an SVD approximation. | cv.svd cv.svd.gabriel cv.svd.wold |
Missing value imputation via the SVDImpute algorithm | impute.svd |
Plot the Result of an SVD Cross-Validation | plot.cvsvd |
Print the Result of an SVD Cross-Validation | print.cvsvd |
Summarize the Result of an SVD Cross-Validation | summary.cvsvd |