A .NET interoperability library to access the R statistical package from .NET languages. The library is designed for fast data exchange of arrays, in process.
See the version list below for details.
Install-Package R.NET.Community -Version 1.6.2
dotnet add package R.NET.Community --version 1.6.2
<PackageReference Include="R.NET.Community" Version="1.6.2" />
paket add R.NET.Community --version 1.6.2
Fixed github #14 (failing to parse things such as cat('this has # hash');). Known limitation: multi-line R character strings still not parsed correctly. Use Paket for dependency management. Use FAKE.
- DynamicInterop (= 0.7.4)
NuGet packages (10)
Showing the top 5 NuGet packages that depend on R.NET.Community:
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.
Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions and more. For frames and series with ordered indices (such as time series), automatic alignment is also available. This package installs core Deedle package, together with an R type provider plugin which makes it possible to pass data frames and time series between R and Deedle
This package contains a library for turning FsLab experiments written as script files into HTML and LaTeX reports. The easiest way to use the library is to use the 'FsLab Journal' Visual Studio template.
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
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on R.NET.Community:
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)