SSMSE: An R package for Management Strategy Evaluation with Stock Synthesis Operating Models

R Submitted 29 June 2022Published 30 October 2023
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Authors

Kathryn L. Doering (0000-0002-0396-7044), Nathan R. Vaughan (0009-0000-3054-6950), John F. Walter, Richard D. Methot, Skyler R. Sagarese (0000-0002-6631-0103), Matthew Smith, Nicholas A. Farmer, Shannon Calay, Nancie J. Cummings, Kelli F. Johnson (0000-0002-5149-451X), Kristin Marshall, Cassidy D. Peterson (0000-0002-0836-3039), Ian G. Taylor (0000-0002-4232-5669), Chantel R. Wetzel (0000-0002-7573-8240)

Citation

Doering et al., (2023). SSMSE: An R package for Management Strategy Evaluation with Stock Synthesis Operating Models. Journal of Open Source Software, 8(90), 4937, https://doi.org/10.21105/joss.04937

@article{Doering2023, doi = {10.21105/joss.04937}, url = {https://doi.org/10.21105/joss.04937}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {90}, pages = {4937}, author = {Kathryn L. Doering and Nathan R. Vaughan and John F. Walter and Richard D. Methot and Skyler R. Sagarese and Matthew Smith and Nicholas A. Farmer and Shannon Calay and Nancie J. Cummings and Kelli F. Johnson and Kristin Marshall and Cassidy D. Peterson and Ian G. Taylor and Chantel R. Wetzel}, title = {SSMSE: An R package for Management Strategy Evaluation with Stock Synthesis Operating Models}, journal = {Journal of Open Source Software} }
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Management Strategy Evaluation fisheries Stock Synthesis stock assessment

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