CRAN/E | cv

cv

Cross-Validation of Regression Models

Installation

About

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".

gmonette.github.io/cv/
CRAN.R-project.org/package=cv
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.5.0
Published 2024-01-27 93 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks cv results
Language en-US

Downloads

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Last 90 days 1.393 +18%
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Maintainer

Maintainer

Georges Monette

georges+cv@yorku.ca

Authors

John Fox

aut

Georges Monette

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Extending the cv package
Cross-validation of regression models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cv archive

Depends

R ≥ 3.5.0
doParallel

Imports

car
foreach
insight
lme4
MASS
methods
nlme

Suggests

boot
carData
dplyr
effects
glmmTMB
ISLR2
knitr
lattice
latticeExtra
leaps
Metrics
microbenchmark
nnet
rmarkdown
spelling
testthat