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.
Digital Commons Citation
Rota, Christopher T.; Wolf, Alexander J.; Renken, Rochelle B.; Gitzen, Robert A.; Fantz, Debby K.; Montgomery, Robert A.; Olson, Matthew G.; Vangilder, Larry D.; and Millspaugh, Joshua J., "Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks" (2016). Faculty & Staff Scholarship. 1241.
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. https://doi.org/10.1016/j.dib.2016.08.043