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

Authors :
Rota CT
Wolf AJ
Renken RB
Gitzen RA
Fantz DK
Montgomery RA
Olson MG
Vangilder LD
Millspaugh JJ
Source :
Data in brief [Data Brief] 2016 Aug 30; Vol. 9, pp. 477-479. Date of Electronic Publication: 2016 Aug 30 (Print Publication: 2016).
Publication Year :
2016

Abstract

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.

Details

Language :
English
ISSN :
2352-3409
Volume :
9
Database :
MEDLINE
Journal :
Data in brief
Publication Type :
Academic Journal
Accession number :
27722189
Full Text :
https://doi.org/10.1016/j.dib.2016.08.043