{ "_id": "6ad02287e2d863f662953fef", "Package": "turfLP", "Title": "TURF Analysis with Integer Linear Programming", "Version": "0.2.0", "Authors@R": "c(\nperson(\"John\", \"Ennis\", , \"john.m.ennis@aigora.com\", role = c(\"aut\", \"cre\")),\nperson(\"Aigora\", role = c(\"cph\", \"fnd\"))\n)", "Description": "Finds product portfolios that maximize TURF (total\nunduplicated reach and frequency) with integer linear\nprogramming, following Serra (2013)\n. The maximum reach problem\nis the maximal covering location problem of Church and ReVelle\n(1974) . The package solves it as an\ninteger linear program, so it finds exact optima without\nenumerating every portfolio. Ties on reach are broken by\nfrequency and then by the harmonic mean of the individual\nproduct reaches. The package also finds the smallest portfolio\nthat reaches every reachable respondent. For related work on\nTURF for large data sets, see Ennis, Fayle, and Ennis (2012)\n.", "License": "MIT + file LICENSE", "Copyright": "See the file COPYRIGHTS.", "URL": "https://github.com/aigorahub/turfLP", "BugReports": "https://github.com/aigorahub/turfLP/issues", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "Config/roxygen2/version": "8.1.0", "LazyData": "true", "Config/pak/sysreqs": "cmake pkg-config", "Repository": "https://aigorahub.r-universe.dev", "Date/Publication": "2026-10-15 00:04:30 UTC", "RemoteUrl": "https://github.com/aigorahub/turflp", "RemoteRef": "HEAD", "RemoteSha": "06afb81c7c1d9cca7c97137caffe2b3e4d23588e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-15 00:42:19 UTC", "User": "root" }, "Author": "John Ennis [aut, cre],\nAigora [cph, fnd]", "Maintainer": "John Ennis ", "_user": "aigorahub", "_type": "src", "_file": "turfLP_0.2.0.tar.gz", "_fileid": 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