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    • Data for "Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation"

    Metadata Updated: October 14, 2024

    These data contain several publicly-available data sets that are used to elucidate the methods in the paper, including data on seal counts in Alaska, county-aggregated demographic data, and heavy metal data in Alaska.

    This dataset is associated with the following publication: Ver Hoef, J., E. Blagg, M. Dumelle, P. Dixon, D. Zimmerman, and P. Conn. Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation. ENVIRONMETRICS. John Wiley & Sons Incorporated, New York, NY, USA, 35(7): e2872, (2024).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1002/env.2872

    Dates

    Metadata Created Date October 14, 2024
    Metadata Updated Date October 14, 2024

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date October 14, 2024
    Metadata Updated Date October 14, 2024
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1531697
    Data Last Modified 2024-05-16
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id c50b392b-076c-4aec-96f4-bf8871f0c4e8
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
    Program Code 020:000
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1002/env.2872
    Source Datajson Identifier True
    Source Hash 66e592f511f98f000f4b25c7c84fd25f77e0966f171593def3a3ba92807822f0
    Source Schema Version 1.1

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