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  2. RStudio - Wikipedia

    en.wikipedia.org/wiki/RStudio

    RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser .

  3. Shiny (web framework) - Wikipedia

    en.wikipedia.org/wiki/Shiny_(web_framework)

    Free software portal; Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python.It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3]

  4. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    The R Journal is an open access, academic journal which features short to medium-length articles on the use and development of R. It includes articles on packages, programming tips, CRAN news, and foundation news. The R community hosts many conferences and in-person meetups - see the community maintained GitHub list. These groups include:

  5. Comparison of integrated development environments - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_integrated...

    IDE License Windows Linux macOS Other platforms Debugger GUI builder Toolchain Profiler Code coverage Autocomplete Static code analysis GUI-based design Class browser

  6. R package - Wikipedia

    en.wikipedia.org/wiki/R_package

    R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).

  7. R Tools for Visual Studio - Wikipedia

    en.wikipedia.org/wiki/R_Tools_for_Visual_Studio

    R Tools for Visual Studio (RTVS) is a plug-in for the Microsoft Visual Studio integrated development environment (IDE), used to provide support for programming in the language R.

  8. OpenBUGS - Wikipedia

    en.wikipedia.org/wiki/OpenBUGS

    OpenBUGS is a software application for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. OpenBUGS is the open source variant of WinBUGS (Bayesian inference Using Gibbs Sampling). It runs under Microsoft Windows and Linux, as well as from inside the R statistical package.

  9. CatBoost - Wikipedia

    en.wikipedia.org/wiki/Catboost

    It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.