⚠️ : Modifying ECU data can "brick" the unit if done incorrectly. Always save a backup of the original, unedited file before making any changes.
If you're looking for a of the legitimate tool (assuming it's the one used by automotive locksmiths or technicians), common highlights include:
Load the .BIN file and use the software to generate a modified "off" file.
install.packages(repos=c(FLR="https://flr.r-universe.dev", CRAN="https://cloud.r-project.org"))
⚠️ : Modifying ECU data can "brick" the unit if done incorrectly. Always save a backup of the original, unedited file before making any changes.
If you're looking for a of the legitimate tool (assuming it's the one used by automotive locksmiths or technicians), common highlights include:
Load the .BIN file and use the software to generate a modified "off" file.
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
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Please submit an issue for the relevant package, or at the tutorials repository.
