FLR
The Fisheries Library in R, a collection of tools for quantitative fisheries science, developed in the R language, that facilitates the construction of bio-economic simulation models of fisheries systems.
INSTALL

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Installing FLR

To install the latest versions of any FLR package, and all the necessary dependencies, start R and enter

install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))

A good starting point to explore FLR is A quick introduction to FLR

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The (a portmanteau blending cultural cues from Japanese omoiyari —empathetics—and Korean jeong —deep emotional bonding) is a narrative and psychological tool that repairs fractured relationships through active, granular listening and ritualized vulnerability . This approach has exploded in popularity because audiences

ELIAS: (Sits across from her) Okay. Why does this date matter? Most romantic storylines fail at the 70% mark

But can the principles of the "Jaban fix" be applied to real-life relationships? Absolutely. This article unpacks the anatomy of the Jaban fix, why it saves dying romantic storylines, and how you can use its core tenets to repair both fictional arcs and your own real-world love life. To understand the "fix," we must first understand the "break." In traditional Western romantic storytelling, conflicts are often solved by external forces: a dramatic confession in the rain, a chase to the airport, or a life-threatening accident that forces a reconciliation. These are "deus ex machina" solutions—satisfying in the moment, but hollow upon reflection.

ELIAS: We don’t use memory. We use a shared calendar with a 7-day pre-alert. And we start a new ritual: the day before any significant date, we cook the same meal. Not as a reminder. As a runway .

About FLR

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.

FLR development

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.

Publications

Studies and publications citing or using FLR

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Community

To stay updated

You can subscribe to the FLR mailing list.

To report bugs or propose changes

Please submit an issue for the relevant package, or at the tutorials repository.