{ "_id": "6a294faa732311cd875acd56", "Package": "nestedcv", "Title": "Nested Cross-Validation with 'glmnet' and 'caret'", "Version": "0.8.2", "Authors@R": "c(person(given = \"Myles\",family = \"Lewis\",\nrole = c(\"aut\", \"cre\"),\nemail = \"myles.lewis@qmul.ac.uk\",\ncomment = c(ORCID = \"0000-0001-9365-5345\")),\nperson(given = \"Athina\",family = \"Spiliopoulou\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-5929-6585\")),\nperson(given = \"Cankut\",family = \"Cubuk\",\nrole = c(\"ctb\"),\nemail = \"c.cubuk@qmul.ac.uk\",\ncomment = c(ORCID = \"0000-0003-4646-0849\")),\nperson(given = \"Katriona\",family = \"Goldmann\",\nrole = c(\"ctb\"),\ncomment = c(ORCID = \"0000-0002-9073-6323\")),\nperson(given = \"Ryan C.\", family = \"Thompson\",\nrole=c(\"ctb\")))", "Maintainer": "Myles Lewis ", "BugReports": "https://github.com/myles-lewis/nestedcv/issues", "URL": "https://github.com/myles-lewis/nestedcv", "Description": "Implements nested k*l-fold cross-validation for lasso and\nelastic-net regularised linear models via the 'glmnet' package\nand other machine learning models via the 'caret' package\n. Cross-validation of 'glmnet'\nalpha mixing parameter and embedded fast filter functions for\nfeature selection are provided. Described as double\ncross-validation by Stone (1977)\n. Also implemented is a\nmethod using outer CV to measure unbiased model performance\nmetrics when fitting Bayesian linear and logistic regression\nshrinkage models using the horseshoe prior over parameters to\nencourage a sparse model as described by Piironen & Vehtari\n(2017) .", "Language": "en-gb", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-10 11:45:43 UTC", "User": "root" }, "Author": "Myles Lewis [aut, cre] (ORCID:\n), Athina Spiliopoulou\n[aut] (ORCID: ), Cankut\nCubuk [ctb] (ORCID: ),\nKatriona Goldmann [ctb] (ORCID:\n), Ryan C. 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