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- The R Project for Statistical Computing
To download R, please choose your preferred CRAN mirror If you have questions about R like how to download and install the software, or what the license terms are, please read our answers to frequently asked questions before you send an email
- The Comprehensive R Archive Network
R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc
- R-4. 5. 2 for Windows - The Comprehensive R Archive Network
Please see the R FAQ for general information about R and the R Windows FAQ for Windows-specific information
- Previous Releases of R for Windows
This directory contains previous binary releases of R for Windows The current release, and links to development snapshots, are available here Source code for these releases and others is available through the main CRAN page In this directory:
- R for Windows
Package developers might want to contact Uwe Ligges directly in case of questions suggestions related to Windows binaries You may also want to read the R FAQ and R for Windows FAQ Note: CRAN does some checks on these binaries for viruses, but cannot give guarantees Use the normal precautions with downloaded executables
- R: A Language and Environment for Statistical Computing
Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Core Team R is free software and comes with ABSOLUTELY NO WARRANTY
- rmgarch: Multivariate GARCH Models - The Comprehensive R Archive Network
The fastica program is a direct translation into R of the FastICA Matlab program of Gaevert, Hurri, Saerelae, and Hyvaerinen with some extra features All computations are currently implemented in R so for very large dimensional sets alternative implementations may be faster
- CRAN: Package weights - The Comprehensive R Archive Network
Documentation: Downloads: Reverse dependencies: Linking: Please use the canonical form https: CRAN R-project org package=weights to link to this page
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