{ "_id": "6a169b53acfb0bcc41d7e1ff", "Package": "gpboost", "Type": "Package", "Title": "Combining Tree-Boosting with Gaussian Process and Mixed Effects\nModels", "Version": "1.6.7", "Date": "2026-04-27", "Authors@R": "c(\nperson(\"Fabio\", \"Sigrist\", email = \"fabiosigrist@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Tim\", \"Gyger\", role = c(\"aut\")),\nperson(\"Pascal\", \"Kuendig\", role = c(\"aut\")),\nperson(\"Benoit\", \"Jacob\", role = c(\"cph\")),\nperson(\"Gael\", \"Guennebaud\", role = c(\"cph\")),\nperson(\"Nicolas\", \"Carre\", role = c(\"cph\")),\nperson(\"Pierre\", \"Zoppitelli\", role = c(\"cph\")),\nperson(\"Gauthier\", \"Brun\", role = c(\"cph\")),\nperson(\"Jean\", \"Ceccato\", role = c(\"cph\")),\nperson(\"Jitse\", \"Niesen\", role = c(\"cph\")),\nperson(\"Other authors of Eigen for the included version of Eigen\", role = c(\"ctb\",\"cph\")),\nperson(\"Timothy A.\", \"Davis\", role = c(\"cph\")),\nperson(\"Guolin\", \"Ke\", role = c(\"ctb\")),\nperson(\"Damien\", \"Soukhavong\", role = c(\"ctb\")),\nperson(\"James\", \"Lamb\", role = c(\"ctb\")),\nperson(\"Other authors of LightGBM for the included version of LightGBM\", role = c(\"ctb\")),\nperson(\"Microsoft Corporation\", role = c(\"cph\")),\nperson(\"Dropbox, Inc.\", role = c(\"cph\")),\nperson(\"Jay\", \"Loden\", role = c(\"cph\")),\nperson(\"Dave\", \"Daeschler\", role = c(\"cph\")),\nperson(\"Giampaolo\", \"Rodola\", role = c(\"cph\")),\nperson(\"Alberto\", \"Ferreira\", role = c(\"ctb\")),\nperson(\"Daniel\", \"Lemire\", role = c(\"ctb\")),\nperson(\"Victor\", \"Zverovich\", role = c(\"cph\")),\nperson(\"IBM Corporation\", role = c(\"ctb\")),\nperson(\"Keith O'Hara\", role = c(\"cph\")),\nperson(\"Stephen L. Moshier\", role = c(\"cph\")),\nperson(\"Jorge Nocedal\", role = c(\"cph\")),\nperson(\"Naoaki Okazaki\", role = c(\"cph\")),\nperson(\"Yixuan Qiu\", role = c(\"cph\")),\nperson(\"Dirk Toewe\", role = c(\"cph\"))\n)", "Description": "An R package that allows for combining tree-boosting with\nGaussian process and mixed effects models. It also allows for\nindependently doing tree-boosting as well as inference and\nprediction for Gaussian process and mixed effects models. 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