Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks

Christopher T. Rota, Alexander J. Wolf, Rochelle B. Renken, Robert A. Gitzen, Debby K. Fantz, Robert A. Montgomery, Matthew G. Olson, Larry D. Vangilder, Joshua J. Millspaugh

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We present predictor variables and R and Stan code for simulating and analyzing counts of Missouri Ozark herpetofauna in response to three forest management strategies. Our code performs four primary purposes: import predictor variables from spreadsheets; simulate synthetic response variables based on imported predictor variables and user-supplied values for data-generating parameters; format synthetic data for export to Stan; and analyze synthetic data.

    Original languageEnglish
    Pages (from-to)477-479
    Number of pages3
    JournalData in Brief
    Volume9
    DOIs
    StatePublished - Dec 2016

    Fingerprint

    Dive into the research topics of 'Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks'. Together they form a unique fingerprint.

    Cite this