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

Public Agent Vol 12 Public Agent New -

Public Agent Vol 12: Public Agent New offers a comprehensive overview of the latest developments in public agency, providing valuable insights and practical guidance for professionals, policymakers, and researchers. As the public sector continues to evolve, this volume serves as an essential resource for those seeking to improve service delivery, enhance citizen engagement, and promote more effective governance.

For those who may be unfamiliar, a public agent is an individual or entity that acts as an intermediary between the public and government agencies. Their primary goal is to facilitate access to public services, provide information, and assist with navigating complex bureaucratic systems. Public agents can be found in various sectors, including healthcare, education, social welfare, and more. public agent vol 12 public agent new

The highly anticipated 12th volume of the Public Agent series, titled "Public Agent New," has finally arrived. This latest installment promises to bring fresh perspectives and insights into the world of public agents, a field that plays a vital role in connecting individuals and businesses with government services, resources, and opportunities. Public Agent Vol 12: Public Agent New offers

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.