{ "_id": "6a491d88b5e98c4082a09a7a", "Package": "GUD", "Title": "Bayesian Modal Regression Based on the GUD Family", "Version": "1.0.2", "Authors@R": "c(\nperson(\"Qingyang\", \"Liu\", email = \"qingyang@email.sc.edu\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-3265-6330\")),\nperson(\"Xianzheng\", \"Huang\", email = \"huang@stat.sc.edu\", role = \"aut\", comment = c(ORCID = \"0000-0001-7077-0869\")),\nperson(\"Ray\", \"Bai\", email = \"rbai@mailbox.sc.edu\", role = \"aut\", comment = c(ORCID = \"0000-0002-7190-7844\")))", "Description": "Provides probability density functions and sampling\nalgorithms for three key distributions from the General\nUnimodal Distribution (GUD) family: the Flexible Gumbel (FG)\ndistribution, the Double Two-Piece (DTP) Student-t\ndistribution, and the Two-Piece Scale (TPSC) Student-t\ndistribution. Additionally, this package includes a function\nfor Bayesian linear modal regression, leveraging these three\ndistributions for model fitting. The details of the Bayesian\nmodal regression model based on the GUD family can be found at\nLiu, Huang, and Bai (2024) .", "URL": "https://github.com/rh8liuqy/Bayesian_modal_regression", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "Biarch": "true", "RdMacros": "Rdpack", "SystemRequirements": "GNU make", "LazyData": "true", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-04 14:37:52 UTC", "User": "root" }, "Author": "Qingyang Liu [aut, cre]\n(), Xianzheng Huang\n[aut] (), Ray Bai [aut]\n()", "Maintainer": "Qingyang Liu ", "Config/pak/sysreqs": "make", "Repository": "https://rh8liuqy.r-universe.dev", "Date/Publication": "2024-06-29 22:58:17 UTC", "RemoteUrl": "https://github.com/rh8liuqy/bayesian_modal_regression", "RemoteRef": "HEAD", "RemoteSha": "944ffe26600e004713dbab120085507e433e3189", "_user": "rh8liuqy", "_type": "src", "_file": "GUD_1.0.2.tar.gz", "_fileid": 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