{ "_id": "6aca3839fe5cc25786e85576", "Package": "adelie", "Title": "Group Lasso and Elastic Net Solver for Generalized Linear Models", "Version": "1.0.10", "Date": "2026-06-03", "Authors@R": "c(\nperson(\"James\", \"Yang\", role = c(\"aut\", \"cph\")),\nperson(\"Trevor\", \"Hastie\", email=\"hastie@stanford.edu\", role = c(\"aut\", \"cph\", \"cre\")),\nperson(\"Balasubramanian\", \"Narasimhan\", role = c(\"aut\")))", "Description": "Extremely efficient procedures for fitting the entire\ngroup lasso and group elastic net regularization path for GLMs,\nmultinomial, the Cox model and multi-task Gaussian models.\nSimilar to the R package 'glmnet' in scope of models, and in\ncomputational speed. This package provides R bindings to the\nC++ code underlying the corresponding Python package 'adelie'.\nThese bindings offer a general purpose group elastic net\nsolver, a wide range of matrix classes that can exploit special\nstructure to allow large-scale inputs, and an assortment of\ngeneralized linear model classes for fitting various types of\ndata. The package is an implementation of Yang, J. and Hastie,\nT. (2024) .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "SystemRequirements": "C++17", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "URL": "https://github.com/JamesYang007/adelie-r", "BugReports": "https://github.com/JamesYang007/adelie-r/issues", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://jamesyang007.r-universe.dev", "Date/Publication": "2026-06-04 19:00:36 UTC", "RemoteUrl": "https://github.com/jamesyang007/adelie-r", "RemoteRef": "HEAD", "RemoteSha": "58de493f51b5b2bbd2e59103c7f895a2eb02661c", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-10 12:52:19 UTC", "User": "root" }, "Author": "James Yang [aut, cph],\nTrevor Hastie [aut, cph, cre],\nBalasubramanian Narasimhan [aut]", "Maintainer": "Trevor Hastie ", "_user": "jamesyang007", "_type": "src", "_file": "adelie_1.0.10.tar.gz", "_fileid": 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