{ "_id": "6a46d577c8416c4719cd61dd", "Package": "BKP", "Title": "Beta Kernel Process Modeling", "Version": "0.3.0", "Authors@R": "c(\nperson(given = \"Jiangyan\", family = \"Zhao\", email = \"zhaojy2017@126.com\", role = c(\"cre\", \"aut\")),\nperson(given = \"Kunhai\", family = \"Qing\", email = \"kunhaiq@qq.com\", role = \"aut\"),\nperson(given = \"Jin\", family = \"Xu\", email = \"jxu@stat.ecnu.edu.cn\", role = \"aut\")\n)", "Maintainer": "Jiangyan Zhao ", "Description": "Implements the Beta Kernel Process (BKP) for nonparametric\nmodeling of covariate-dependent binomial probabilities, and the\nDirichlet Kernel Process (DKP) for categorical or multinomial\nresponse data. Scalable global-local approximations are\nprovided through TwinBKP and TwinDKP, using twinning-selected\nglobal subsets and local nearest-neighbour updates. Functions\nare included for model fitting, predictive inference with\nuncertainty quantification, posterior simulation, and\nvisualization in one- and two-dimensional input spaces.\nGaussian, Matern 5/2, Matern 3/2, and Wendland kernels are\nsupported, with hyperparameters selected by multi-start\nderivative-free optimization. For more details, see Zhao, Qing,\nand Xu (2025) .", "License": "GPL (>= 3)", "Copyright": "See inst/COPYRIGHTS", "URL": "https://github.com/Jiangyan-Zhao/BKP", "BugReports": "https://github.com/Jiangyan-Zhao/BKP/issues", "Encoding": "UTF-8", "NeedsCompilation": "yes", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.0.0", "Packaged": { "Date": "2026-07-02 21:12:54 UTC", "User": "root" }, "Author": "Jiangyan Zhao [cre, aut], Kunhai Qing [aut], Jin Xu [aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-07-02 15:02:03 UTC", "RemoteUrl": "https://github.com/cran/BKP", "RemoteRef": "HEAD", "RemoteSha": "c9adbc62ffcbb4f4b1c4369ecfef5a618d7be1f3", "_user": "cran", "_type": "src", "_file": "BKP_0.3.0.tar.gz", "_fileid": "https://r2.ropensci.org/0f87b7b3c2446fdc92be3bb9661806a5b64873f7d9b954c178a2a4eaf0ed64e6", "_filesize": 530316, "_sha256": "0f87b7b3c2446fdc92be3bb9661806a5b64873f7d9b954c178a2a4eaf0ed64e6", "_expires": "2026-10-10T21:17:43.000Z", 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