{ "_id": "6a22b6f90ef520ea2f58f42c", "Package": "gamlss", "Title": "Generalized Additive Models for Location Scale and Shape", "Version": "5.5-4", "Date": "2026-05-02", "Authors@R": "c(person(\"Mikis\", \"Stasinopoulos\", role = c(\"aut\", \"cre\", \"cph\"), \nemail = \"d.stasinopoulos@gre.ac.uk\", comment = c(ORCID = \"0000-0003-2407-5704\")),\nperson(\"Robert\", \"Rigby\", role = \"aut\", email = \"r.rigby@gre.ac.uk\", comment = c(ORCID = \"0000-0003-3853-1707\")),\nperson(\"Vlasios\", \"Voudouris\", role = \"ctb\"),\nperson(\"Calliope\", \"Akantziliotou\", role = \"ctb\"),\nperson(\"Marco\", \"Enea\", role = \"ctb\"),\nperson(\"Daniil\", \"Kiose\", role = \"ctb\", comment = c(ORCID = \"0000-0002-3596-5748\")),\nperson(\"Achim\", \"Zeileis\", role = \"ctb\", email = \"Achim.Zeileis@R-project.org\", comment = c(ORCID = \"0000-0003-0918-3766\"))\n)", "Description": "Functions for fitting the Generalized Additive Models for\nLocation Scale and Shape introduced by Rigby and Stasinopoulos\n(2005), . The models use\na distributional regression approach where all the parameters\nof the conditional distribution of the response variable are\nmodelled using explanatory variables.", "License": "GPL-2 | GPL-3", "URL": "https://www.gamlss.com/", "BugReports": "https://github.com/gamlss-dev/gamlss/issues", "LazyLoad": "yes", "NeedsCompilation": "yes", "Repository": "https://gamlss-dev.r-universe.dev", "Date/Publication": "2026-06-05 07:31:53 UTC", "RemoteUrl": "https://github.com/gamlss-dev/gamlss", "RemoteRef": "HEAD", "RemoteSha": "e471ce6260041e6eb86ef04a2e79a4ee149aa43a", "Packaged": { "Date": "2026-06-05 11:33:14 UTC", "User": "root" }, "Author": "Mikis Stasinopoulos [aut, cre, cph] (ORCID:\n),\nRobert Rigby [aut] (ORCID: ),\nVlasios Voudouris [ctb],\nCalliope Akantziliotou [ctb],\nMarco Enea [ctb],\nDaniil Kiose [ctb] (ORCID: ),\nAchim Zeileis [ctb] (ORCID: )", "Maintainer": "Mikis Stasinopoulos ", "MD5sum": "d2d4e0f456265545d89e69b423ebec0e", "_user": "gamlss-dev", "_type": "src", 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{ "page": "cs", "title": "Specify a Smoothing Cubic Spline Fit in a GAMLSS Formula", "topics": [ "cs", "cs.control", "scs" ] }, { "page": "deviance.gamlss", "title": "Global Deviance of a GAMLSS model", "topics": [ "deviance.gamlss" ] }, { "page": "DevianceIncr", "title": "The global deviance increment", "topics": [ "devianceIncr" ] }, { "page": "dtop", "title": "Detrended transformed Owen's plot", "topics": [ "dtop" ] }, { "page": "edf", "title": "Effective degrees of freedom from gamlss model", "topics": [ "edf", "edfAll" ] }, { "page": "findhyper", "title": "A function to select values of hyper-parameters in a GAMLSS model", "topics": [ "find.hyper" ] }, { "page": "fitDist", "title": "Fitting Different Parametric 'gamlss.family' Distributions.", "topics": [ "chooseDist", "chooseDistPred", "fitDist", "fitDistPred", "getOrder" ] }, { "page": "fitted.gamlss", "title": "Extract Fitted Values For A GAMLSS Model", "topics": [ "fitted.gamlss", "fv" ] }, { "page": "fittedPlot", "title": 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"page": "getSmo", "title": "Extracting Smoother information from a GAMLSS fitted object", "topics": [ "getSmo" ] }, { "page": "glim.control", "title": "Auxiliary for Controlling the inner algorithm in a GAMLSS Fitting", "topics": [ "glim.control" ] }, { "page": "histDist", "title": "This function plots the histogram and a fitted (GAMLSS family) distribution to a variable", "topics": [ "histDist" ] }, { "page": "histSmo", "title": "Density estimation using the Poisson trick", "topics": [ "histSmo", "histSmoC", "histSmoO", "histSmoP" ] }, { "page": "IC", "title": "Gives the GAIC for a GAMLSS Object", "topics": [ "AIC.gamlss", "extractAIC.gamlss", "GAIC", "GAIC_scaled", "GAIC_table", "IC" ] }, { "page": "lms", "title": "A function to fit LMS curves for centile estimation", "topics": [ "lms" ] }, { "page": "lo", "title": "Specify a loess fit in a GAMLSS formula", "topics": [ "lo", "lo.control", "vis.lo" ] }, { "page": "loglogSurv", "title": "Survival function plots for checking the tail behaviour of the data", "topics": [ "ECDF", "loglogplot", "loglogplot0", "loglogSurv", "loglogSurv1", "loglogSurv2", "loglogSurv3", "logSurv", "logSurv0" ] }, { "page": "lpred", "title": "Extract Linear Predictor Values and Standard Errors For A GAMLSS Model", "topics": [ "lp", "lpred" ] }, { "page": "LR.test", "title": "Likelihood Ratio test for nested GAMLSS models", "topics": [ "LR.test" ] }, { "page": "model.frame.gamlss", "title": "Extract a model.frame, a model matrix or terms from a GAMLSS object for a given distributional parameter", "topics": [ "model.frame.gamlss", "model.matrix.gamlss", "terms.gamlss" ] }, { "page": "numeric.deriv", "title": "An internal GAMLSS function for numerical derivatives", "topics": [ "numeric.deriv" ] }, { "page": "par.plot", "title": "A function to plot parallel plot for repeated measurement data", "topics": [ "par.plot" ] }, { "page": "pcat", "title": "Reduction for the Levels of a Factor.", "topics": [ "gamlss.pcat", "pcat", "plotDF", 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