{ "_id": "6a22a2e8cd65a98ecbd5917c", "Package": "TOC", "Type": "Package", "Title": "Total Operating Characteristic Curve and ROC Curve", "Version": "0.0-6", "Date": "2023-02-09", "Author": "Robert G. Pontius , Ali Santacruz, Amin\nTayyebi, Benoit Parmentier, Kangping Si", "Maintainer": "Ali Santacruz ", "Description": "Construction of the Total Operating Characteristic (TOC)\nCurve and the Receiver (aka Relative) Operating Characteristic\n(ROC) Curve for spatial and non-spatial data. The TOC method is\na modification of the ROC method which measures the ability of\nan index variable to diagnose either presence or absence of a\ncharacteristic. The diagnosis depends on whether the value of\nan index variable is above a threshold. Each threshold\ngenerates a two-by-two contingency table, which contains four\nentries: hits (H), misses (M), false alarms (FA), and correct\nrejections (CR). While ROC shows for each threshold only two\nratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of\nevery entry in the contingency table for each threshold\n(Pontius Jr., R.G., Si, K. 2014.\n).", "License": "GPL-3", "BugReports": "https://github.com/amsantac/TOC/issues", "URL": "https://github.com/amsantac/TOC", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libproj-dev\nlibsqlite3-dev", "Repository": "https://amsantac.r-universe.dev", "Date/Publication": "2023-10-11 17:08:03 UTC", "RemoteUrl": "https://github.com/amsantac/toc", "RemoteRef": "HEAD", "RemoteSha": "ee62de3583acf7f15567f1f6861d318b03633bf2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-05 10:16:39 UTC", "User": "root" }, "MD5sum": "32ba2a181438b774c315e8d6c5d58368", "_user": "amsantac", "_type": "src", "_file": "TOC_0.0-6.tar.gz", "_fileid": "fb7f545dbc9fcfcf6c0406028d38cb77afb64df5a03b3bcaa51759aaad12a9f6", "_filesize": 460550, "_sha256": 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