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

" Partners in Crime " is the premiere episode of Season 4, first broadcast on April 5, 2008. It serves as a comedic and lighthearted reintroduction of Donna Noble (played by Catherine Tate) as a full-time companion to the Tenth Doctor (David Tennant). Plot Summary

The story follows the Doctor and Donna as they independently investigate , a company marketing a revolutionary "miracle" diet pill in London. The company’s slogan, "the fat just walks away," turns out to be literal: the pills transform human body fat into small, white, marshmallow-like aliens called Adipose . Doctor Who season 4 episode 1 review: 'Partners In Crime'

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

[s4e1] Partners In Crime -

" Partners in Crime " is the premiere episode of Season 4, first broadcast on April 5, 2008. It serves as a comedic and lighthearted reintroduction of Donna Noble (played by Catherine Tate) as a full-time companion to the Tenth Doctor (David Tennant). Plot Summary

The story follows the Doctor and Donna as they independently investigate , a company marketing a revolutionary "miracle" diet pill in London. The company’s slogan, "the fat just walks away," turns out to be literal: the pills transform human body fat into small, white, marshmallow-like aliens called Adipose . Doctor Who season 4 episode 1 review: 'Partners In Crime'

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

.

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.