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".
- Version2.0.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release09/22/2024
Documentation
Team
Georges Monette
MaintainerShow author detailsJohn Fox
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 551 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.
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Last 365 days
This package has been downloaded 7,463 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Apr 17, 2024 with 118 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends1 package
- Imports8 packages
- Suggests14 packages