{ "_id": "6acb5596fe5cc25786e8e56c", "Package": "SensMap", "Type": "Package", "Title": "Sensory and Consumer Data Mapping", "Version": "0.3", "Date": "2017-09-13", "Author": "Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche\n[ctb]", "Maintainer": "Ibtihel Rebhi ", "URL": "https://github.com/IbtihelRebhi/SensMap", "Description": "External preference mapping technique is commonly used in\nsensory analysis field to explain consumer preferences in\nfunction of sensory attributes of products Danzart(1998)\n(). The package provides map\nvisualization with options in dimension reduction methods and\nprediction models from linear and non linear regressions. A\nsmoothed version of the map performed using LOESS algorithm is\navailable. A comparison approach of maps stability from\ndifferent features before and after smoothing is provided. A\n'shiny' application is included. It presents an easy GUI for\nthe implemented functions as well as a comparative tool of fit\nmodels using several criteria. Basic analysis such as\ncharacterization of products, panelists and sessions likewise\nconsumer segmentation are available.", "License": "GPL (>= 2)", "LazyData": "TRUE", "RoxygenNote": "5.0.1", "Config/pak/sysreqs": "cmake libfreetype6-dev make default-jdk libicu-dev\nlibpng-dev libuv1-dev libssl-dev zlib1g-dev", "Repository": "https://ibtihelrebhi.r-universe.dev", "Date/Publication": "2017-09-26 09:15:01 UTC", "RemoteUrl": "https://github.com/ibtihelrebhi/sensmap", "RemoteRef": "HEAD", "RemoteSha": "9cd26c00b02d763974fb854018baa568fc97bb03", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-11 09:13:12 UTC", "User": "root" }, "_user": "ibtihelrebhi", "_type": "src", "_file": "SensMap_0.3.tar.gz", "_fileid": "https://r2.ropensci.org/e72090e7bfeb3cb758d2822bb1754d7586bf477d44c2d3891a56e174053dbfc3", "_filesize": 155949, "_sha256": "e72090e7bfeb3cb758d2822bb1754d7586bf477d44c2d3891a56e174053dbfc3", "_expires": "2027-01-19T09:23:32.000Z", "_created": "2026-10-11T09:13:12.000Z", 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