cv: Cross-Validating Regression Models

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".

Version:	2.0.0
Depends:	R (≥ 3.5.0), doParallel
Imports:	car, foreach, glmmTMB, gtools, insight, lme4, MASS, methods, nlme
Suggests:	boot, carData, dplyr, effects, ISLR2, knitr, lattice, latticeExtra, leaps, Metrics, microbenchmark, nnet, rmarkdown, spelling, testthat
Published:	2024-04-29
Author:	John Fox [aut], Georges Monette [aut, cre]
Maintainer:	Georges Monette <georges+cv at yorku.ca>
BugReports:	https://github.com/gmonette/cv/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://gmonette.github.io/cv/, https://CRAN.R-project.org/package=cv
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	cv results

Documentation:

Reference manual:	cv.pdf
Vignettes:	Extending the cv package Cross-validating mixed-effects models Computational and technical notes on cross-validating regression models Cross-validating model selection Cross-validating regression models

Downloads:

Package source:	cv_2.0.0.tar.gz
Windows binaries:	r-devel: cv_2.0.0.zip, r-release: cv_2.0.0.zip, r-oldrel: cv_2.0.0.zip
macOS binaries:	r-release (arm64): cv_2.0.0.tgz, r-oldrel (arm64): cv_2.0.0.tgz, r-release (x86_64): cv_2.0.0.tgz, r-oldrel (x86_64): cv_2.0.0.tgz
Old sources:	cv archive

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