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  2. RGtk2 - Wikipedia

    en.wikipedia.org/wiki/RGtk2

    Cite this page; Get shortened URL; Download QR code; Print/export Download as PDF; Printable version; In other projects ... RGtk2 Package on CRAN; github

  3. 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).

  4. Cran - Wikipedia

    en.wikipedia.org/wiki/Cran

    Cite this page; Get shortened URL; Download QR code; Print/export Download as PDF; Printable version; In other projects ... Cran may refer to:

  5. Bibliometrix - Wikipedia

    en.wikipedia.org/wiki/Bibliometrix

    Bibliometrix is a package for the R statistical programming language for quantitative research in scientometrics and bibliometrics. [1]Bibliometrics is the application of quantitative analysis and statistics to publications such as journal articles and their accompanying citation counts.

  6. Quantitative Discourse Analysis Package - Wikipedia

    en.wikipedia.org/wiki/Quantitative_Discourse...

    cran.r-project.org /web /packages /qdap / Quantitative Discourse Analysis Package (qdap) is an R package for computer assisted qualitative data analysis , particularly quantitative discourse analysis , transcript analysis and natural language processing .

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    big.assets.huffingtonpost.com/athena/files/2025/...

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  8. R (programming language) - Wikipedia

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

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  9. OpenMx - Wikipedia

    en.wikipedia.org/wiki/OpenMx

    Models can handle mixtures of continuous and ordinal data. The current version is OpenMx 2, [3] and is available on CRAN. Path analysis, Confirmatory factor analysis, Latent growth modeling, Mediation analysis are all implemented. Multiple group models are implemented readily.