⭐⭐⭐⭐ Does exactly one job for free. Perfect for that job. Just don't expect more.
If you need to look at a Visio diagram but don't want to pay $5+ per month for the full software, this viewer is a lifesaver. However, don't mistake it for an editor—it strictly shows, not creates.
Overall Rating: ⭐⭐⭐⭐ (4/5) – Essential for teams, limited for power users.
install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))
⭐⭐⭐⭐ Does exactly one job for free. Perfect for that job. Just don't expect more.
If you need to look at a Visio diagram but don't want to pay $5+ per month for the full software, this viewer is a lifesaver. However, don't mistake it for an editor—it strictly shows, not creates.
Overall Rating: ⭐⭐⭐⭐ (4/5) – Essential for teams, limited for power users.
The FLR project has been developing and providing fishery scientists with a powerful and flexible platform for quantitative fisheries science based on the R statistical language. The guiding principles of FLR are openness, through community involvement and the open source ethos, flexibility, through a design that does not constraint the user to a given paradigm, and extendibility, by the provision of tools that are ready to be personalized and adapted. The main aim is to generalize the use of good quality, open source, flexible software in all areas of quantitative fisheries research and management advice.
Development code for FLR packages is available both on Github and on R-Universe. Bugs can be reported on Github as well as suggestions for further development.
Studies and publications citing or using FLR
.You can subscribe to the FLR mailing list.
Please submit an issue for the relevant package, or at the tutorials repository.
