: Frequently cited as the "best overall" for online ordering, iGourmet boasts a massive catalog of over 550 varieties. They specialize in everything from everyday soft cheeses to rare international finds, making them a great starting point for home cooks and party planners alike.

: Avoid cheese with a plastic-like rind or any "slimy" or discolored surfaces. If it smells overly like ammonia (unless it's a specific style like Camembert), it may be past its prime. Murray's Cheese

: If shopping in person, look for a shop that offers "cut-to-order" service. A good cheesemonger should allow you to taste before you buy and provide pairing advice.

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

Where To Buy Gourmet Cheese Link

: If shopping in person, look for a shop that offers "cut-to-order" service. A good cheesemonger should allow you to taste before you buy and provide pairing advice.

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.