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  • The Comprehensive R Archive Network
    CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R Please use the CRAN mirror nearest to you to minimize network load
  • CRAN: Contributed Packages
    CRAN Task Views aim to provide some guidance which packages on CRAN are relevant for tasks related to a certain topic They provide tools to automatically install all packages from each view Currently, 48 views are available
  • R for Windows
    Please do not submit binaries to CRAN Package developers might want to contact Uwe Ligges directly in case of questions suggestions related to Windows binaries
  • Download R-4. 5. 1 for Windows. The R-project for statistical computing.
    This build requires UCRT, which is part of Windows since Windows 10 and Windows Server 2016 On older systems, UCRT has to be installed manually from here If you want to double-check that the package you have downloaded matches the package distributed by CRAN, you can compare the md5sum of the exe to the fingerprint on the master server
  • CRAN Mirrors - The Comprehensive R Archive Network
    The Comprehensive R Archive Network is available at the following URLs, please choose a location close to you Some statistics on the status of the mirrors can be found here: main page, windows release, windows old release
  • Available CRAN Packages By Name
    Available CRAN Packages By NameABCDEFGHIJKLMNOPQRSTUVWXYZ
  • CRAN: Package tidyverse
    Documentation: Downloads: Reverse dependencies: Linking: Please use the canonical form https: CRAN R-project org package=tidyverse to link to this page
  • CRAN: Package bnlearn
    Bayesian network structure learning, parameter learning and inference This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score




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