Data in Brief (Dec 2016)

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

DOI
https://doi.org/10.1016/j.dib.2016.08.043
Journal volume & issue
Vol. 9, no. C
pp. 477 – 479

Abstract

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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.