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bcv  

Cross-Validation for the SVD (Bi-Cross-Validation)
View on CRAN: Click here


Download and install bcv package within the R console
Install from CRAN:
install.packages("bcv")

Install from Github:
library("remotes")
install_github("cran/bcv")

Install by package version:
library("remotes")
install_version("bcv", "1.0.2")



Attach the package and use:
library("bcv")
Maintained by
Michal Burdukiewicz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-22
Latest Update: 2023-05-19
Description:
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 ) and Perry's 2009 PhD thesis (at ).
How to cite:
Michal Burdukiewicz (2020). bcv: Cross-Validation for the SVD (Bi-Cross-Validation). R package version 1.0.2, https://cran.r-project.org/web/packages/bcv
Previous versions and publish date:
1.0.1.1 (2020-12-22 14:45), 1.0.1.2 (2021-02-24 23:40), 1.0.1.3 (2021-03-02 14:20), 1.0.1.4 (2021-03-16 13:40), 1.0.1 (2015-05-22 07:28), 1.0 (2009-10-15 12:29)
Other packages that cited bcv R package
View bcv citation profile
Other R packages that bcv depends, imports, suggests or enhances
Functions, R codes and Examples using the bcv R package
Some associated functions: bcv-package . cvsvd . impute.svd . plot.cvsvd . print.cvsvd . summary.cvsvd . 
Some associated R codes: bcv-package.R . cv.R . cv.svd.gabriel.R . cv.svd.wold.R . impute.svd.R . plot.R . print.R . summary.R .  Full bcv package functions and examples
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