It introduced the "Pale Wing" character class, a jetpack-equipped female soldier who relied on energy weapons, offering a completely different playstyle compared to the grounded Infantry class. The sheer variety of weapons, the scale of the enemies (giant ants, spiders, UFOs, and towering robots), and the fully destructible environments created a sandbox of pure joy.
Even without a full patch, many players find the Japanese version playable. Most missions simply involve "clearing the red dots" on the radar, and online resources provide menu translations to help navigate settings and weapon selections. Official English Alternatives
Critical menus—including "Single Player," "Multiplayer," and "Settings"—are typically the first things translated.
Search for on fan translation sites like:
install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))
It introduced the "Pale Wing" character class, a jetpack-equipped female soldier who relied on energy weapons, offering a completely different playstyle compared to the grounded Infantry class. The sheer variety of weapons, the scale of the enemies (giant ants, spiders, UFOs, and towering robots), and the fully destructible environments created a sandbox of pure joy.
Even without a full patch, many players find the Japanese version playable. Most missions simply involve "clearing the red dots" on the radar, and online resources provide menu translations to help navigate settings and weapon selections. Official English Alternatives
Critical menus—including "Single Player," "Multiplayer," and "Settings"—are typically the first things translated.
Search for on fan translation sites like:
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.
