: Updates have fixed mouse hold-and-drag issues and scaling problems in VNC portrait mode, making the Windows interface easier to navigate on a touchscreen.
: Tap the "Play" button. Be patient, as the initial driver installation and boot sequence are slow.
Select the RTL8139 network card to enable internet access within the guest OS. VGA: Standard or VMWare for better display resolution.
I can provide custom configuration tweaks optimized for your hardware. Share public link
install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))
: Updates have fixed mouse hold-and-drag issues and scaling problems in VNC portrait mode, making the Windows interface easier to navigate on a touchscreen.
: Tap the "Play" button. Be patient, as the initial driver installation and boot sequence are slow.
Select the RTL8139 network card to enable internet access within the guest OS. VGA: Standard or VMWare for better display resolution.
I can provide custom configuration tweaks optimized for your hardware. Share public link
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.
