{ "_id": "6a4f3f4b21b18e15484ffa0a", "Package": "cv", "Type": "Package", "Title": "Cross-Validating Regression Models", "Version": "2.0.6", "Date": "2026-06-08", "Authors@R": "c(person(\"John\", \"Fox\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-1196-8012\")),\nperson(\"Georges\", \"Monette\", role = c(\"aut\", \"cre\"), email = \"georges+cv@yorku.ca\",\ncomment = c(ORCID =\"0000-0003-0076-5532\")))", "Description": "Cross-validation methods of regression models that exploit\nfeatures of various modeling functions to improve speed. Some\nof the methods implemented in the package are novel, as\ndescribed in Fox and Monette (2026)\n, and the package vignettes. For\ngeneral introductions to cross-validation, see, for example,\nGareth James, Daniela Witten, Trevor Hastie, and Robert\nTibshirani (2021, ISBN 978-1-0716-1417-4, Secs. 5.1, 5.3), \"An\nIntroduction to Statistical Learning with Applications in R,\nSecond Edition\", and Trevor Hastie, Robert Tibshirani, and\nJerome Friedman (2009, ISBN 978-0-387-84857-0, Sec. 7.10), \"The\nElements of Statistical Learning, Second Edition\".", "LazyData": "TRUE", "VignetteBuilder": "knitr, rmarkdown", "License": "GPL (>= 2)", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "8.0.0", "URL": "https://gmonette.github.io/cv/,\nhttps://CRAN.R-project.org/package=cv", "BugReports": "https://github.com/gmonette/cv/issues", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://gmonette.r-universe.dev", "Date/Publication": "2026-06-09 02:28:54 UTC", "RemoteUrl": "https://github.com/gmonette/cv", "RemoteRef": "HEAD", "RemoteSha": 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