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  "Title": "Partial Linear Single Index Models for Environmental Mixture\nAnalysis",
  "Version": "1.0.1",
  "Date": "2026-07-20",
  "Authors@R": "c(person(\"Yuyan\", \"Wang\", role = c(\"aut\", \"cre\"), \nemail = \"yuyan.wang@nyumc.org\", comment = c(ORCID = \"0000-0003-3747-0762\")),\nperson(\"Mengling\", \"Liu\", role = c(\"aut\", \"ctb\") ),\nperson(\"Myeonggyun\", \"Lee\", role = c(\"ctb\") ))",
  "Maintainer": "Yuyan Wang <yuyan.wang@nyumc.org>",
  "Description": "Collection of ancillary functions and utilities for\nPartial Linear Single Index Models for Environmental mixture\nanalyses, which currently provides functions for scalar, binary\nand count outcomes. The outputs of these functions include the\nsingle index function, single index coefficients, partial\nlinear coefficients, mixture overall effect, exposure main and\ninteraction effects, and differences of quartile effects. In\nthe future, we will add functions for ordinal, survival, and\nlongitudinal outcomes, as well as models for time-dependent\nexposures. See Wang et al (2020)\n<doi:10.1186/s12940-020-00644-4> for an overview.",
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      "page": "confounder.trans",
      "title": "Transformation for confounders vector Z before modeling",
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      "page": "e.interaction.plot",
      "title": "Plot interaction effect of two exposures from PLSIM",
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      "title": "Plot single exposure's main effect from PLSIM",
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    {
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      "title": "This is an updated data from original data based on NHANES 2003–2004 survey",
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