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

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...

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Detalles Bibliográficos
Autores principales: Rota, Christopher T., Wolf, Alexander J., Renken, Rochelle B., Gitzen, Robert A., Fantz, Debby K., Montgomery, Robert A., Olson, Matthew G., Vangilder, Larry D., Millspaugh, Joshua J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048085/
https://www.ncbi.nlm.nih.gov/pubmed/27722189
http://dx.doi.org/10.1016/j.dib.2016.08.043
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author Rota, Christopher T.
Wolf, Alexander J.
Renken, Rochelle B.
Gitzen, Robert A.
Fantz, Debby K.
Montgomery, Robert A.
Olson, Matthew G.
Vangilder, Larry D.
Millspaugh, Joshua J.
author_facet Rota, Christopher T.
Wolf, Alexander J.
Renken, Rochelle B.
Gitzen, Robert A.
Fantz, Debby K.
Montgomery, Robert A.
Olson, Matthew G.
Vangilder, Larry D.
Millspaugh, Joshua J.
author_sort Rota, Christopher T.
collection PubMed
description 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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spelling pubmed-50480852016-10-07 Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks Rota, Christopher T. Wolf, Alexander J. Renken, Rochelle B. Gitzen, Robert A. Fantz, Debby K. Montgomery, Robert A. Olson, Matthew G. Vangilder, Larry D. Millspaugh, Joshua J. Data Brief Data Article 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. Elsevier 2016-08-30 /pmc/articles/PMC5048085/ /pubmed/27722189 http://dx.doi.org/10.1016/j.dib.2016.08.043 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Rota, Christopher T.
Wolf, Alexander J.
Renken, Rochelle B.
Gitzen, Robert A.
Fantz, Debby K.
Montgomery, Robert A.
Olson, Matthew G.
Vangilder, Larry D.
Millspaugh, Joshua J.
Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
title Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
title_full Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
title_fullStr Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
title_full_unstemmed Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
title_short Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks
title_sort simulated data and code for analysis of herpetofauna response to forest management in the missouri ozarks
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048085/
https://www.ncbi.nlm.nih.gov/pubmed/27722189
http://dx.doi.org/10.1016/j.dib.2016.08.043
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