{ "_id": "6a49617477d6db3f2f966859", "Package": "sgs", "Title": "Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control", "Version": "0.3.7", "Date": "2025-05-06", "Authors@R": "person(\"Fabio\", \"Feser\", role = c(\"aut\", \"cre\"), email = \"ff120@ic.ac.uk\",comment = c(ORCID = \"0009-0007-3088-9727\"))", "Maintainer": "Fabio Feser ", "Description": "Implementation of Sparse-group SLOPE (SGS) (Feser and\nEvangelou (2023) ) models.\nLinear and logistic regression models are supported, both of\nwhich can be fit using k-fold cross-validation. Dense and\nsparse input matrices are supported. In addition, a general\nAdaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel\n(2018) ) implementation is\nprovided. Group SLOPE (gSLOPE) (Brzyski et al. (2019)\n) and group-based OSCAR\nmodels (Feser and Evangelou (2024)\n) are also implemented. All\nmodels are available with strong screening rules (Feser and\nEvangelou (2024) ) for\ncomputational speed-up.", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "License": "GPL (>= 3)", "Encoding": "UTF-8", "URL": "https://github.com/ff1201/sgs", "BugReports": "https://github.com/ff1201/sgs/issues", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://ff1201.r-universe.dev", "Date/Publication": "2025-06-12 15:11:28 UTC", "RemoteUrl": "https://github.com/ff1201/sgs", "RemoteRef": "HEAD", "RemoteSha": "405aab0d80388f2765a01ca4bc4089ecaf9801e4", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-24 12:26:27 UTC", "User": "root" }, "Author": "Fabio Feser [aut, cre] (ORCID: )", "_user": "ff1201", "_type": "src", "_file": "sgs_0.3.7.tar.gz", "_fileid": "https://r2.ropensci.org/2982b08d13f174decccdf9494204d18b8ad3f4ea2ef186abd301334430e8bda9", "_filesize": 965992, "_sha256": 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"405aab0d80388f2765a01ca4bc4089ecaf9801e4", "author": "Fabio Feser <79450502+ff1201@users.noreply.github.com>", "committer": "GitHub ", "message": "Merge pull request #3 from jolars/new-slope-workarounds\n\nWork around incoming breaking changes in SLOPE", "time": 1749741088 }, "_maintainer": { "name": "Fabio Feser", "email": "ff120@ic.ac.uk", "login": "ff1201", "description": "PhD student on the StatML programme at Imperial & Oxford", "uuid": 79450502 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "Matrix", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "caret", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "SLOPE", "role": "Imports" }, { "package": "Rlab", "role": 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