{ "_id": "6a1e862f1d7bb097a0a67226", "Package": "HCPclust", "Title": "Hierarchical Conformal Prediction for Clustered Data with\nMissing Responses", "Version": "0.1.2", "Authors@R": "c(\nperson(\"Menghan\", \"Yi\",email = \"menghany@umich.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Judy\", \"Wang\", role = \"aut\")\n)", "Description": "Implements hierarchical conformal prediction for clustered\ndata with missing responses. The method uses repeated\ncluster-level splitting and within-cluster subsampling to\naccommodate dependence, and inverse-probability weighting to\ncorrect distribution shift induced by missingness. Conditional\ndensities are estimated by inverting fitted conditional\nquantiles (linear quantile regression or quantile regression\nforests), and p-values are aggregated across resampling and\nsplitting steps using the Cauchy combination test.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "URL": "https://github.com/judywangstat/HCP", "BugReports": "https://github.com/judywangstat/HCP/issues", "Config/testthat/edition": "3", "Config/pak/sysreqs": "make", "Repository": "https://judywangstat.r-universe.dev", "Date/Publication": "2026-05-02 14:47:50 UTC", "RemoteUrl": "https://github.com/judywangstat/hcp", "RemoteRef": "HEAD", "RemoteSha": "d14edc3a0393ec8708a150c38242085708454b37", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 07:24:34 UTC", "User": "root" }, "Author": "Menghan Yi [aut, cre],\nJudy Wang [aut]", "Maintainer": "Menghan Yi ", "MD5sum": "0a9ea7c07537668885990a3789e1450e", "_user": 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