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

Use Rufus (or BalenaEtcher). Select the ISO, write it in "DD Image" mode when prompted. On macOS/Linux: Use dd command:

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palera1n Or, for a specific mode (e.g., fakefs for tweaks):

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

Checkn1x-1.0.6-amd64.iso

Use Rufus (or BalenaEtcher). Select the ISO, write it in "DD Image" mode when prompted. On macOS/Linux: Use dd command:

If you have ever struggled with dual-booting Linux, wrestling with virtual machines, or dealing with bloated Windows software to jailbreak your iPhone, this 100MB ISO file is about to change your entire workflow. Checkn1x is a minimal, stripped-down Linux distribution (based on Alpine Linux ) designed to do one thing and one thing only: run the checkm8 bootrom exploit on iOS devices. checkn1x-1.0.6-amd64.iso

Simply type:

Whether you are a veteran developer testing tweaks on an old iPhone SE, or a curious user trying to customize iOS 16 on your iPhone X, this tool remains the gold standard for tethered and semi-tethered checkm8 jailbreaks. Use Rufus (or BalenaEtcher)

Burn this ISO to a cheap, dedicated USB drive, label it "Jailbreak Stick," and store it in your drawer. Years from now, when you need to resurrect an old device, you will be glad you kept a copy of checkn1x-1.0.6-amd64.iso on hand. Disclaimer: Jailbreaking voids your iOS device warranty and may expose it to security risks. This article is for educational purposes. Ensure you comply with local laws and Apple's terms of service. Years from now, when you need to resurrect

palera1n Or, for a specific mode (e.g., fakefs for tweaks):

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.