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  "Title": "Partial Linear Single Index Models for Environmental Mixture\nAnalysis",
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  "Date": "2025-05-04",
  "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\") ))",
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  "Description": "Collection of ancillary functions and utilities for\nPartial Linear Single Index Models for Environmental mixture\nanalyses, which currently provides functions for scalar\noutcomes. The outputs of these functions include the single\nindex function, single index coefficients, partial linear\ncoefficients, mixture overall effect, exposure main and\ninteraction effects, and differences of quartile effects. In\nthe future, we will add functions for binary, ordinal, Poisson,\nsurvival, and longitudinal outcomes, as well as models for\ntime-dependent exposures. See Wang et al (2020)\n<doi:10.1186/s12940-020-00644-4> for an overview.",
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