{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://r-packages.io/#organization","name":"R CODER","url":"https://r-packages.io/","sameAs":["https://facebook.com/RCODERweb","https://twitter.com/RCODERWeb","https://github.com/R-CoderDotCom"],"logo":{"@type":"ImageObject","@id":"https://r-packages.io/#logo","inLanguage":"en","url":"/android-chrome-192x192.png","width":192,"height":192,"caption":"R CODER logo"},"image":{"@id":"https://r-packages.io/#logo"}},{"@type":"WebSite","@id":"https://r-packages.io/#website","url":"https://r-packages.io/","name":"R PACKAGES","description":"Explore the documentation of all R packages available, including functions and datasets","publisher":{"@id":"https://r-packages.io/#organization"},"potentialAction":[{"@type":"SearchAction","target":"https://r-packages.io/?q={search_term_string}","query-input":"required name=search_term_string"}],"inLanguage":"en"},{"@type":"WebPage","@id":"https://r-packages.io/packages/funtimes/funtimes-package","url":"https://r-packages.io/packages/funtimes/funtimes-package","name":"funtimes-package() R function from [funtimes]","isPartOf":{"@id":"https://r-packages.io/#website"},"primaryImageOfPage":{"@id":"https://r-packages.io/packages/funtimes/funtimes-package/#primaryimage"},"datePublished":"0001-01-01T00:00:00Z","dateModified":"2025-09-02T04:17:14.915Z","description":"Advances in multiple aspects of time-series analysis are documented in this package. See available vignettes using\n\n`browseVignettes(package = \"funtimes\")`\n\nTests for trends applicable to autocorrelated data, see\n\n`vignette(\"trendtests\", package = \"funtimes\")`\n\ninclude bootstrapped versions of t-test and Mann--Kendall test if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Noguchi_etal_2011\",package=\"funtimes\",cached_env=.Rdpack.currefs)\n\nand bootstrapped version of WAVK test for possibly non-monotonic trends if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Lyubchich_etal_2013_wavk\",package=\"funtimes\",cached_env=.Rdpack.currefs) . The WAVK test is further applied in testing synchronicity of trends if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Lyubchich_Gel_2016_synchronism\",package=\"funtimes\",cached_env=.Rdpack.currefs) ; see an implementation to climate data in if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Lyubchich_2016_trends;textual\",package=\"funtimes\",cached_env=.Rdpack.currefs) . With iterative testing, the synchronicity test is also applied for identifying clusters of multiple time series if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Ghahari_etal_2017_MBDCE\",package=\"funtimes\",cached_env=.Rdpack.currefs) .\n\nAdditional clustering methods are implemented using functions `BICC` if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Schaeffer_etal_2016_trust\",package=\"funtimes\",cached_env=.Rdpack.currefs)\n\nand `DR` if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Huang_etal_2018_riding\",package=\"funtimes\",cached_env=.Rdpack.currefs) ; function `purity` can be used to assess the accuracy of clustering if true classes are known.\n\nChangepoint detection methods include modified CUSUM-based bootstrapped test if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Lyubchich_etal_2020_changepoints\",package=\"funtimes\",cached_env=.Rdpack.currefs) .\n\nAdditional functions include implementation of the Beale's ratio estimator, see\n\n`vignette(\"beales\", package = \"funtimes\")`\n\nNonparametric comparison of tails of distributions is implemented using small bins defined based on quantiles if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Soliman_etal_2015_insurance\",package=\"funtimes\",cached_env=.Rdpack.currefs)\n\nor intervals in the units in which the data are recorded if(!exists(\".Rdpack.currefs\")) .Rdpack.currefs \\<-new.env();Rdpack::insert_citeOnly(keys=\"Lyubchich_Gel_2017_insurance\",package=\"funtimes\",cached_env=.Rdpack.currefs) .\n\nFor a list of currently deprecated functions, use `?'funtimes-deprecated'`\n\nFor a list of defunct (removed) functions, use `?'funtimes-defunct'`","breadcrumb":{"@id":"https://r-packages.io/packages/funtimes/funtimes-package/#breadcrumb"},"inLanguage":"en","potentialAction":[{"@type":"ReadAction","target":["https://r-packages.io/packages/funtimes/funtimes-package"]}]},{"@type":"BreadcrumbList","@id":"https://r-packages.io/packages/funtimes/funtimes-package/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"WebPage","@id":"https://r-packages.io","url":"https://r-packages.io","name":"Home"}},{"@type":"ListItem","position":2,"item":{"@type":"WebPage","@id":"https://r-packages.io/packages/","url":"https://r-packages.io/packages/","name":"R packages"}},{"@type":"ListItem","position":3,"item":{"@type":"WebPage","@id":"https://r-packages.io/packages/funtimes","url":"https://r-packages.io/packages/funtimes","name":"funtimes R package"}},{"@type":"ListItem","position":4,"item":{"@type":"WebPage","@id":"https://r-packages.io/packages/funtimes/funtimes-package","url":"https://r-packages.io/packages/funtimes/funtimes-package","name":"funtimes-package() R function from funtimes"}}]},{"@type":"Article","@id":"https://r-packages.io/packages/funtimes/funtimes-package/#article","isPartOf":{"@id":"https://r-packages.io/packages/funtimes/funtimes-package/#webpage"},"author":"R CODER","headline":"funtimes-package() R function from funtimes","datePublished":"0001-01-01T00:00:00Z","dateModified":"2025-09-02T04:17:14.915Z","mainEntityOfPage":{"@id":"https://r-packages.io/packages/funtimes/funtimes-package/#webpage"},"publisher":{"@id":"https://r-packages.io/#organization"},"image":{"@id":"https://r-packages.io/packages/funtimes/funtimes-package/#primaryimage"},"articleSection":"R packages","inLanguage":"en"}]}