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:Michal Burdukiewicz [cre, ctb], Patrick O. Perry [aut, cph], Seyed Morteza Najibi [ctb]

bcv_1.0.2.tar.gz
bcv_1.0.2.zip(r-4.7)bcv_1.0.2.zip(r-4.6)bcv_1.0.2.zip(r-4.5)
bcv_1.0.2.tgz(r-4.6-x86_64)bcv_1.0.2.tgz(r-4.6-arm64)bcv_1.0.2.tgz(r-4.5-x86_64)bcv_1.0.2.tgz(r-4.5-arm64)
bcv_1.0.2.tar.gz(r-4.7-arm64)bcv_1.0.2.tar.gz(r-4.7-x86_64)bcv_1.0.2.tar.gz(r-4.6-arm64)bcv_1.0.2.tar.gz(r-4.6-x86_64)
bcv_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bcv/json (API)

# Install 'bcv' in R:
install.packages('bcv', repos = c('https://michbur.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/michbur/bcv/issues

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

3.23 score 1 stars 17 scripts 277 downloads 1 mentions 3 exports 0 dependencies

Last updated from:b6c25efbe7. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK101
linux-devel-x86_64OK111
source / vignettesOK149
linux-release-arm64OK105
linux-release-x86_64OK104
macos-release-arm64OK230
macos-release-x86_64OK228
macos-oldrel-arm64OK99
macos-oldrel-x86_64OK277
windows-develOK157
windows-releaseOK119
windows-oldrelOK81
wasm-releaseOK95

Exports:cv.svd.gabrielcv.svd.woldimpute.svd

Dependencies: