Beyond visualizing catch-at-age models: Lessons learned from the r4ss package about software to support stock assessments

Author:

Taylor Ian G.ORCID,Doering Kathryn L.ORCID,Johnson Kelli F.ORCID,Wetzel Chantel R.ORCID,Stewart Ian J.

Funder

Northwest Fisheries Science Center

Publisher

Elsevier BV

Subject

Aquatic Science

Reference52 articles.

1. ss3sim: an R package for fisheries stock assessment simulation with Stock Synthesis;Anderson;PLoS One,2014

2. Reproducible visualization of raw fisheries data for 113 species improves transparency, assessment efficiency, and monitoring;Anderson;Fisheries,2020

3. Data and time poverty in fisheries estimation: potential approaches and solutions;Bentley;ICES J. Mar. Sci.,2015

4. Geospatial Free and Open Source Software in the 21st Century;Bocher,2012

5. Building software, building community: lessons from the rOpenSci project;Boettiger;J. Open Res. Softw.,2015

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