{ "_id": "6acca35ba14063b82c3a7312", "Package": "GMDH2", "Type": "Package", "Title": "Binary Classification via GMDH-Type Neural Network Algorithms", "Version": "1.8", "Date": "2022-10-26", "Author": "Osman Dag [aut, cre], Erdem Karabulut [aut], Reha Alpar [aut],\nMerve Kasikci [ctb]", "Maintainer": "Osman Dag ", "URL": "http://www.softmed.hacettepe.edu.tr/GMDH2", "Description": "Performs binary classification via Group Method of Data\nHandling (GMDH) - type neural network algorithms. There exist\ntwo main algorithms available in GMDH() and dceGMDH()\nfunctions. GMDH() performs classification via GMDH algorithm\nfor a binary response and returns important variables.\ndceGMDH() performs classification via diverse classifiers\nensemble based on GMDH (dce-GMDH) algorithm. Also, the package\nproduces a well-formatted table of descriptives for a binary\nresponse. Moreover, it produces confusion matrix, its related\nstatistics and scatter plot (2D and 3D) with classification\nlabels of binary classes to assess the prediction performance.\nAll 'GMDH2' functions are designed for a binary response (Dag\net al., 2019,\n).", "License": "GPL (>= 2)", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-12 09:04:10 UTC", "User": "root" }, "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://osmandag.r-universe.dev", "Date/Publication": "2022-10-26 14:27:52 UTC", "RemoteUrl": "https://github.com/cran/GMDH2", "RemoteRef": "HEAD", "RemoteSha": "cc1996c8d9337bb6339a58a575fcbd8cca66f829", "_user": "osmandag", "_type": "src", "_file": "GMDH2_1.8.tar.gz", "_fileid": "https://r2.ropensci.org/4df47e687f893d010ff11192ed083c12b0ad66776b66150c3caafff13d691c90", "_filesize": 208427, "_sha256": "4df47e687f893d010ff11192ed083c12b0ad66776b66150c3caafff13d691c90", "_expires": "2027-01-20T09:07:37.000Z", "_created": 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