{ "_id": "6a12cfeaacfb0bcc41d21f9c", "Package": "EzGP", "Title": "Easy-to-Interpret Gaussian Process Models for Computer\nExperiments", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Jiayi\", \"Li\", email = \"jiayili0123@outlook.com\", role = c(\"cre\", \"aut\")),\nperson(\"Qian\", \"Xiao\", email = \"QIAN.XIAO@uga.edu\", role = \"aut\"),\nperson(\"Abhyuday\", \"Mandal\", email = \"abhyuday@uga.edu\", role = \"aut\"),\nperson(\"C. Devon\", \"Lin\", email = \"devon.lin@queensu.ca\", role = \"aut\"),\nperson(\"Xinwei\", \"Deng\", email = \"xdeng@vt.edu\", role = \"aut\"))", "Description": "Fit model for datasets with easy-to-interpret Gaussian\nprocess modeling, predict responses for new inputs. The input\nvariables of the datasets can be quantitative,\nqualitative/categorical or mixed. The output variable of the\ndatasets is a scalar (quantitative). The optimization of the\nlikelihood function can be chosen by the users (see the\ndocumentation of EzGP_fit()). The modeling method is published\nin \"EzGP: Easy-to-Interpret Gaussian Process Models for\nComputer Experiments with Both Quantitative and Qualitative\nFactors\" by Qian Xiao, Abhyuday Mandal, C. Devon Lin, and\nXinwei Deng (2022) .", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 10:12:49 UTC", "User": "root" }, "Author": "Jiayi Li [cre, aut], Qian Xiao [aut], Abhyuday Mandal [aut], C.\nDevon Lin [aut], Xinwei Deng [aut]", "Maintainer": "Jiayi Li ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-07-06 17:40:08 UTC", "RemoteUrl": "https://github.com/cran/EzGP", "RemoteRef": "HEAD", "RemoteSha": "b6dc0e5854758a00ddcfc9d98c7ab81fa45a8129", "MD5sum": "05cd219bfc1dc91f23e6b960e5c418eb", "_user": "cran", "_type": "src", "_file": "EzGP_0.1.0.tar.gz", "_fileid": "c340c7adbe676941671ae4baba60d2d48184cd4855b704c44adce814ad8f6c64", "_filesize": 814350, "_sha256": "c340c7adbe676941671ae4baba60d2d48184cd4855b704c44adce814ad8f6c64", "_created": "2026-05-24T10:12:49.000Z", "_published": "2026-05-24T10:16:10.254Z", "_distro": "noble", "_jobs": [ { "job": 77589472901, 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