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cv  

Cross-Validating Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cv", "2.0.4")



Attach the package and use:
library("cv")
Maintained by
Georges Monette
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-31
Latest Update: 2025-06-16
Description:
Cross-validation methods of regression models that exploit features of various modeling functions to improve speed. Some of the methods implemented in the package are novel, as described in the package vignettes; for general introductions to cross-validation, see, for example, Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (2021, ISBN 978-1-0716-1417-4, Secs. 5.1, 5.3), "An Introduction to Statistical Learning with Applications in R, Second Edition", and Trevor Hastie, Robert Tibshirani, and Jerome Friedman (2009, ISBN 978-0-387-84857-0, Sec. 7.10), "The Elements of Statistical Learning, Second Edition".
How to cite:
Georges Monette (2023). cv: Cross-Validating Regression Models. R package version 2.0.4, https://cran.r-project.org/web/packages/cv. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.1 (2023-10-31 18:10), 1.1.0 (2024-01-27 19:30), 2.0.0 (2024-04-29 20:00), 2.0.2 (2024-08-19 05:50), 2.0.3 (2024-09-22 21:40)
Other packages that cited cv R package
View cv citation profile
Other R packages that cv depends, imports, suggests or enhances
Complete documentation for cv
Functions, R codes and Examples using the cv R package
Some associated functions: GetResponse . Pigs . cost-functions . cv . cvMixed . cvSelect . models . 
Some associated R codes: Pigs.R . cost-functions.R . cv-mixed-models.R . cv.R . cv.modList.R . cvSelect.R . getResponse.R .  Full cv package functions and examples
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