Install-Package R.NET -Version 1.9.0
dotnet add package R.NET --version 1.9.0
<PackageReference Include="R.NET" Version="1.9.0" />
paket add R.NET --version 1.9.0
#r "nuget: R.NET, 1.9.0"
// Install R.NET as a Cake Addin #addin nuget:?package=R.NET&version=1.9.0 // Install R.NET as a Cake Tool #tool nuget:?package=R.NET&version=1.9.0
- R.NET can on all recent R versions from 3.4 onwards, including adjustments for R 4.0.x. While not extensively tested, any of the R 3.X releases should be supported. Note that on Linux only 3.5.y is supported due to a difficulty in detecting R versions on that OS.
- Workaround: The R engine overrides PATH and R_HOME if a .Renviron file is present, at least on on Windows. This led to Default 'stats' package functions fail to load
- Change on windows: if several versions of R are installed and registered in the windows registry, the most recent is the default R engine loaded.
- Contributions by Luke Rasmussen and Kieren Johnstone are gratefully acknowledged
NuGet packages (7)
Showing the top 5 NuGet packages that depend on R.NET:
Transitional package, you can remove and directly use nuget package ID R.NET
An F# Type Provider providing strongly typed access to the R statistical package. The type provider automatically discovers available R packages and makes them easily accessible from F#, so you can easily call powerful packages and visualization libraries from code running on the .NET platform.
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
QuantConnect LEAN Engine: Launcher Project - Main startup executable for live and backtesting
A .NET interoperability library to access the R statistical language runtime from .NET languages. The library is designed for fast data exchange, in process.
GitHub repositories (2)
Showing the top 2 popular GitHub repositories that depend on R.NET:
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
.NET interop library to call the R statistical language in the same process
Fix an issue with character columns in data frames, that occured for 3.5+ versions of R