Document Type


Publication Date



Davis College of Agriculture, Natural Resources and Design


Division of Forestry and Natural Resources


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.

Source Citation

Rota, C. T., Wolf, A. J., Renken, R. B., Gitzen, R. A., Fantz, D. K., Montgomery, R. A., Olson, M. G., Vangilder, L. D., & Millspaugh, J. J. (2016). Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks. Data in Brief, 9, 477–479.


This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The article is supported by the WVU Libraries' Open Access Author Fund.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.