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The\nLog-normal prior over the degrees of freedom is posed as a\nviable choice with comparable performance in simulations and\nreal-data application, against other prior choices, where an\nElliptical Slice Sampler is used to sample from the concerned\nposterior.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "URL": "https://github.com/Roy-SR-007/bayesestdft", "BugReports": "https://github.com/Roy-SR-007/bayesestdft/issues", "LazyData": "true", "Repository": "https://roy-sr-007.r-universe.dev", "Date/Publication": "2025-01-09 05:00:11 UTC", "RemoteUrl": "https://github.com/roy-sr-007/bayesestdft", "RemoteRef": "HEAD", "RemoteSha": "e72ac816f1b199a70e9f9b0d4e15a65b13e7ecaf", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-11 06:59:15 UTC", "User": "root" }, "Author": "Somjit Roy [aut, cre],\nSe Yoon Lee [aut, ctb]", "Maintainer": "Somjit Roy ", "MD5sum": "e54111eec2d5033ca3ca964aeca4c225", "_user": 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