CRAN Service

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A CPAN Service is a software library archive of over 5,300 R packages.



References

2013

  • (Wikipedia, 2013) ⇒ http://en.wikipedia.org/wiki/R_(programming_language)#Packages Retrieved:2013-12-18.
    • The capabilities of R are extended through user-created packages, which allow specialized statistical techniques, graphical devices, import/export capabilities, reporting tools, etc. These packages are developed primarily in R, and sometimes in Java, C and Fortran.

      A core set of packages is included with the installation of R, with 5300 additional packages (as of April 2012) available at the Comprehensive R Archive Network (CRAN), Bioconductor, and other repositories.

      The "Task Views" page (subject list) on the CRAN website lists the wide range of applications (Finance, Genetics, Machine Learning, Medical Imaging, Social Sciences and Spatial Statistics) to which R has been applied and for which packages are available.

      Other R package resources include Crantastic, a community site for rating and reviewing all CRAN packages, and also R-Forge, a central platform for the collaborative development of R packages, R-related software, and projects. It hosts many unpublished, beta packages, and development versions of CRAN packages.

      The Bioconductor project provides R packages for the analysis of genomic data, such as Affymetrix and cDNA microarray object-oriented data-handling and analysis tools, and has started to provide tools for analysis of data from next-generation high-throughput sequencing methods.

      Reproducible research and automated report generation can be accomplished with packages that support

      execution of R code embedded within LaTeX, OpenDocument format and other markups. [1] === Speed-up and memory efficiency === The package jit provides JIT-compilation, and the package compiler offers a byte-code compiler for R. The packages snow, multicore, and parallel provide parallelism for R. The package ff saves memory by storing data on disk. The data structures behave as if they were in RAM. The package ffbase provides basic statistical functions for 'ff'.