{ "_id": "6a103fadacfb0bcc41c9ce97", "Package": "rust", "Type": "Package", "Title": "Ratio-of-Uniforms Simulation with Transformation", "Version": "1.4.4", "Date": "2026-01-11", "Authors@R": "person(c(\"Paul\", \"J.\"), \"Northrop\", email = \"p.northrop@ucl.ac.uk\",\nrole = c(\"aut\", \"cre\", \"cph\"))", "Description": "Uses the generalized ratio-of-uniforms (RU) method to\nsimulate from univariate and (low-dimensional) multivariate\ncontinuous distributions. The user specifies the log-density,\nup to an additive constant. The RU algorithm is applied after\nrelocation of mode of the density to zero, and the user can\nchoose a tuning parameter r. For details see Wakefield, Gelfand\nand Smith (1991) , Efficient generation\nof random variates via the ratio-of-uniforms method, Statistics\nand Computing (1991) 1, 129-133. A Box-Cox variable\ntransformation can be used to make the input density suitable\nfor the RU method and to improve efficiency. In the\nmultivariate case rotation of axes can also be used to improve\nefficiency. From version 1.2.0 the 'Rcpp' package\n can be used to\nimprove efficiency.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "URL": "https://paulnorthrop.github.io/rust/,\nhttps://github.com/paulnorthrop/rust", "BugReports": "https://github.com/paulnorthrop/rust/issues", "Config/testthat/edition": "3", "Repository": "https://paulnorthrop.r-universe.dev", "Date/Publication": "2026-01-11 14:48:01 UTC", "RemoteUrl": "https://github.com/paulnorthrop/rust", "RemoteRef": "HEAD", "RemoteSha": "c9fda897847f1a1149c4461ba2433e4eb9b0f8c6", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-11 08:40:04 UTC", "User": "root" }, "Author": "Paul J. Northrop [aut, cre, cph]", "Maintainer": "Paul J. 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