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Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
Christopher T Rota1, Alexander J Wolf2, Rochelle B Renken2
1West Virginia University, School of Natural Resources, United States; University of Missouri, Fisheries and Wildlife Sciences, United States.
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.
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