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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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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. |
format | Online Article Text |
id | pubmed-5048085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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