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

Mongerinasia.com [portable] đź’«

âś… Off the Beaten Path: They dig deep to find those hidden gems that only the locals know about. âś… Street Food Focus: From the spicy tang of Thai som tum to the savory richness of Vietnamese pho, they celebrate the street vendors who are the true artists of the culinary world. âś… Honest Reviews: No fluff, just genuine experiences and tips on how to navigate local markets and transport like a pro.

Based on the limited information available, I would categorize mongerinasia.com as a potentially interesting online marketplace for Asian goods or cultural products. However, due to the lack of detailed information and transparency, I would exercise caution when using the website. mongerinasia.com

Law enforcement agencies in multiple countries are known to monitor such forums. Posting detailed reviews of a specific person (e.g., "I met Mary at Bar XYZ") could expose that individual to arrest or deportation. Similarly, users who post identifying information about themselves risk blackmail, arrest upon returning home (if their home country has extraterritorial laws), or social ruin. âś… Off the Beaten Path: They dig deep

The platform’s name— Monger (from “merchant”) combined with “Asia”—signifies its ambition to be the definitive merchant hub for the continent. Based on the limited information available, I would

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.