{ "_id": "6a17d93dacfb0bcc41d9b32a", "Package": "ACSSpack", "Type": "Package", "Title": "ACSS, Corresponding INSS, and GLP Algorithms", "Version": "1.0.0.2", "Date": "2025-10-10", "Authors@R": "c(person(\"Ziqian\", \"Yang\", role = c(\"cre\", \"aut\"), email = \"zi.yang@ufl.edu\"), \nperson(\"Kshitij\", \"Khare\", role = \"aut\"),\nperson(\"George\", \"Michailidis\", role = \"aut\"))", "Description": "Allow user to run the Adaptive Correlated Spike and Slab\n(ACSS) algorithm, corresponding INdependent Spike and Slab\n(INSS) algorithm, and Giannone, Lenza and Primiceri (GLP)\nalgorithm with adaptive burn-in. All of the three algorithms\nare used to fit high dimensional data set with either sparse\nstructure, or dense structure with smaller contributions from\nall predictors. The state-of-the-art GLP algorithm is in\nGiannone, D., Lenza, M., & Primiceri, G. E. (2021,\nISBN:978-92-899-4542-4) \"Economic predictions with big data:\nThe illusion of sparsity\". The two new algorithms, ACSS\nalgorithm and INSS algorithm, and the discussion on their\nperformance can be seen in Yang, Z., Khare, K., & Michailidis,\nG. (2024, submitted to Journal of Business & Economic\nStatistics) \"Bayesian methodology for adaptive sparsity and\nshrinkage in regression\".", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "LazyData": "true", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-27 14:29:38 UTC", "User": "root" }, "Author": "Ziqian Yang [cre, aut], Kshitij Khare [aut], George Michailidis\n[aut]", "Maintainer": "Ziqian Yang ", "Repository": "https://cranhaven.r-universe.dev", "Date/Publication": "2026-05-27 05:02:00 UTC", "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev", "RemoteRef": "package/ACSSpack", "RemoteSha": "d5313a5579255679a92762fb4c8b073395a21046", "RemoteSubdir": "ACSSpack", "MD5sum": "ee5b86d6b2f7b4dc1b94b21b7c8a5181", "_user": "cranhaven", "_type": "src", "_file": "ACSSpack_1.0.0.2.tar.gz", "_fileid": "c79a832887f1f42aecd0007fe9972edd3b9cdb1d4473d1cdf05f9da8362147e2", "_filesize": 2032749, "_sha256": 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"d5313a5579255679a92762fb4c8b073395a21046", "author": "GitHub Action ", "committer": "GitHub Action ", "message": "Add ACSSpack to CRANhaven, because archived on 2026-05-27 05:02:00 +0000\n", "time": 1779858120 }, "_maintainer": { "name": "Ziqian Yang", "email": "zi.yang@ufl.edu", "login": "nkyangtzeqian", "description": "", "uuid": 45631159 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.0.2", "role": "Depends" }, { "package": "Rcpp", "version": ">= 1.0.11", "role": "LinkingTo" }, { "package": "RcppArmadillo", "version": ">= 0.12.6.3.0", "role": "LinkingTo" }, { "package": "stats", "role": "Imports" }, { "package": "HDCI", "version": ">= 1.0-2", "role": "Imports" }, { "package": "MASS", "version": ">= 7.3-60", "role": "Imports" }, { "package": "extraDistr", "version": ">= 1.4-4", "role": "Imports" } ], "_owner": "cranhaven", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-22", "n": 1 } ], "_tags": [], "_topics": [ "archived", "packages", 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