{ "_id": "6a180cb3acfb0bcc41dadd2a", "Package": "cowbell", "Type": "Package", "Title": "Performs Segmented Linear Regression on Two Independent\nVariables", "Version": "0.1.0", "Authors@R": "person(\"Christoph\", \"Luerig\", email = \"luerig@hochschule-trier.de\", role=c(\"aut\", \"cre\"))", "Description": "Implements a specific form of segmented linear regression\nwith two independent variables. The visualization of that\nfunction looks like a quarter segment of a cowbell giving the\npackage its name. The package has been specifically constructed\nfor the case where minimum and maximum value of the dependent\nand two independent variables are known a prior, which is\nusually the case when those values are derived from Likert\nscales.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.0.1", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 09:33:36 UTC", "User": "root" }, "Author": "Christoph Luerig [aut, cre]", "Maintainer": "Christoph Luerig ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2017-05-05 20:01:45 UTC", "RemoteUrl": "https://github.com/cran/cowbell", "RemoteRef": "HEAD", "RemoteSha": "35f663f39142e8b029e5d430b11459d362f847fc", "MD5sum": "6bf85fb6e2acdae1b22bfd5d692ba497", "_user": "cran", "_type": "src", "_file": "cowbell_0.1.0.tar.gz", "_fileid": "10c62a8232140abba52b359c390117e7e63cae6632af82bba0e1db20cf01140c", "_filesize": 524838, "_sha256": "10c62a8232140abba52b359c390117e7e63cae6632af82bba0e1db20cf01140c", "_created": "2026-05-28T09:33:36.000Z", "_published": "2026-05-28T09:36:51.306Z", "_distro": "noble", "_jobs": [ { "job": 78263296655, "time": 147, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7262545747" }, { "job": 78263296578, "time": 128, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7262539590" }, { "job": 78262690343, "time": 215, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7262494039" }, { "job": 78263296580, "time": 156, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7262548852" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26566384281", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/cowbell", "_commit": { "id": "35f663f39142e8b029e5d430b11459d362f847fc", "author": "Christoph Luerig ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1494014505 }, "_maintainer": { "name": "Christoph Luerig", "email": "luerig@hochschule-trier.de" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.3.0", "role": "Depends" }, { "package": "ggplot2", "role": "Imports" }, { "package": "rgl", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "misc3d", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 154, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/cowbell" }, "_searchresults": 14, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/cowbell.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2017-05-05" } ], "_exports": [ "generateCowbell", "generateCowbellConcept" ], "_datasets": [ { "name": "allFun", "title": "allFun: Data set for Fluency, Absorption, Fit and Fun.", "object": "allFun", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Fluency", "Absorption", "Fit", "Fun" ], "rows": 813, "table": true, "tojson": true }, { "name": "testA", "title": "testA: Artificial data set for testing.", "object": "testA", "class": [ "data.frame" ], "fields": [ "Fluency", "Absorption", "Fun" ], "rows": 1000, "table": true, "tojson": true } ], "_help": [ { "page": "allFun", "title": "allFun: Data set for Fluency, Absorption, Fit and Fun.", "topics": [ "allFun" ] }, { "page": "cowbell", "title": "Computes a response surface as segmented linear regression that resembles a cowbell.", "topics": [ "cowbell-package", "cowbell" ] }, { "page": "fitted.cowbell", "title": "Implementation of the 'fitted' generic.", "topics": [ "fitted.cowbell" ] }, { "page": "generateCowbell", "title": "Performs the segmented linear regression analysis generating the cowbell function.", "topics": [ "generateCowbell" ] }, { "page": "generateCowbellConcept", "title": "Expresses the fitting formula and the value range of the variables.", "topics": [ "generateCowbellConcept" ] }, { "page": "plot.cowbell", "title": "Plots the obtained cowbell function.", "topics": [ "plot.cowbell" ] }, { "page": "predict.cowbell", "title": "Performs a prediction on the cowbell model that has been generated.", "topics": [ "predict.cowbell" ] }, { "page": "print.cowbell", "title": "Summarizes the cowbell regression analysis", "topics": [ "print.cowbell" ] }, { "page": "print.cowbellConcept", "title": "Summarizes the cowbell concept with the formula and value ranges.", "topics": [ "print.cowbellConcept" ] }, { "page": "print.summary.cowbell", "title": "Prints the summary obtained by 'summary.cowbell'.", "topics": [ "print.summary.cowbell" ] }, { "page": "residuals.cowbell", "title": "Implementation of the 'residuals' generic.", "topics": [ "residuals.cowbell" ] }, { "page": "summary.cowbell", "title": "Generates the core information of the cowbell analysis.", "topics": [ "summary.cowbell" ] }, { "page": "testA", "title": "testA: Artificial data set for testing.", "topics": [ "testA" ] } ], "_rundeps": [ "base64enc", "bslib", "cachem", "cli", "cpp11", "digest", "evaluate", "farver", "fastmap", "fontawesome", "fs", "ggplot2", "glue", "gtable", "highr", "htmltools", "htmlwidgets", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "lifecycle", "magrittr", "memoise", "mime", "misc3d", "R6", "rappdirs", "RColorBrewer", "rgl", "rlang", "rmarkdown", "S7", "sass", "scales", "tinytex", "vctrs", "viridisLite", "withr", "xfun", "yaml" ], "_vignettes": [ { "source": "cowbell.Rmd", "filename": "cowbell.html", "title": "Cowbell: Segmented Linear Regression as Response Surface", "author": "Christoph Luerig", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Application Conditions", "Usage procedure", "Additional commands" ], "created": "2017-05-05 20:01:45", "modified": "2017-05-05 20:01:45", "commits": 1 } ], "_score": 2.146128035678238, "_indexed": true, "_nocasepkg": "cowbell", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-05-28T09:36:06.000Z", "distro": "noble", "commit": "35f663f39142e8b029e5d430b11459d362f847fc", "fileid": "2ad09b7ab2c89b2a6e7197114cc83d50cb3099dcb7e035bb8151f4f8aa9a1e0f", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26566384281" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-05-28T09:35:45.000Z", "distro": "noble", "commit": "35f663f39142e8b029e5d430b11459d362f847fc", "fileid": "83b1f5f3ff90c6caee4c62228f642f4293bd36bb907a326b6594096cdfdc63f5", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26566384281" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-05-28T09:36:32.000Z", "commit": "35f663f39142e8b029e5d430b11459d362f847fc", "fileid": "7cf38213f71605b4d25827d52adf07b328918c0d60b0d2b08cf05df8e3592ece", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26566384281" } ] }