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  "Date": "2023-11-17",
  "Title": "Addressing Detection Limits by Cumulative Probability Models\n(CPMs)",
  "Authors@R": "c(person(\"Yuqi\", \"Tian\", role=c(\"aut\", \"cre\"), email=\"yuqitian35@gmail.com\"),\nperson(\"Chun\", \"Li\", role=\"aut\"),\nperson(\"Shengxin\", \"Tu\", role=\"aut\"),\nperson(\"Nathan\", \"James\", role=\"aut\"),\nperson(\"Frank\", \"Harrell\", role=\"aut\"),\nperson(\"Bryan\", \"Shepherd\", role=\"aut\"))",
  "Description": "Build CPMs (cumulative probability models, also known as\ncumulative link models) to account for detection limits (both\nsingle and multiple detection limits) in response variables.\nConditional quantiles and conditional CDFs can be calculated\nbased on fitted models. The package implements methods\ndescribed in Tian, Y., Li, C., Tu, S., James, N. T., Harrell,\nF. E., & Shepherd, B. E. (2022). \"Addressing Detection Limits\nwith Semiparametric Cumulative Probability Models\".\n<arXiv:2207.02815>.",
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  "Repository": "https://yuqitian35.r-universe.dev",
  "Date/Publication": "2023-11-30 23:20:32 UTC",
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