: Registered users can maintain reading lists, mark books as "read" or "want to read," and leave reviews or comments.
(ЛитМир) is a prominent Russian-language digital library known for providing a massive repository of e-books that users can read online or download in various formats, most notably FB2 (FictionBook), which is the standard for Russian e-readers. Overview of LitMir Services
: A significant section dedicated to "what-if" historical scenarios. Alternative Libraries
: Many titles are available free of charge and without mandatory registration, though some recent or copyrighted works may only offer "introductory fragments" due to licensing restrictions. Domain and Access Information
: The platform allows users to sort books by author, genre, popularity, and user ratings.
install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))
: Registered users can maintain reading lists, mark books as "read" or "want to read," and leave reviews or comments.
(ЛитМир) is a prominent Russian-language digital library known for providing a massive repository of e-books that users can read online or download in various formats, most notably FB2 (FictionBook), which is the standard for Russian e-readers. Overview of LitMir Services
: A significant section dedicated to "what-if" historical scenarios. Alternative Libraries
: Many titles are available free of charge and without mandatory registration, though some recent or copyrighted works may only offer "introductory fragments" due to licensing restrictions. Domain and Access Information
: The platform allows users to sort books by author, genre, popularity, and user ratings.
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.
