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Documentation
- Installing R packages
- Quick start
- Build instructions
As of Sept 2013 you may access the package documentation including vignettes; in the R interpreter use the commands ?rClr or browseVignettes('rClr') to access API documentation and package vignettes.
- The first tutorial is the customary Hello World
- The second tutorial covers Handling simple data.
- The third tutorial Spatial-temporal model is nearly complete. It is a big jump from the previous tutorials, but also the most telling example.
A roadmap is at the page Roadmap
Please use the discussions tab for general for topics you think will generate a discussion threads. You can also submit an issue if you think you have clearly hit a bug.
The original author has been using .NET for work since the version 1.0 beta, mostly using C#, for environmental modelling. While the Common Language Infrastructure and Microsoft software ecosystem offers plenty, some functionalities built, for instance, on Python and R, remain superior for scientific purposes. The author felt repeatedly the frustration of being unable to couple the CLR with R when needed, and having to revert to working but unsatisfactory solutions. R.NET addresses the .NET to R interperability. rClr tackles the other way.
I gratefully acknowledge Simon Knapp for "planting" the initial idea of an interop bridge between R and CLR a couple of years ago.