R -- An Environment for Statistical Analysis and Graphics

Edit Package R-base

This package covers R-base and R-base-devel containing the core of the programming language R for data analysis and graphics.
More information on www.r-project.org

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Source Files (show merged sources derived from linked package)
Filename Size Changed
R-4.4.0.tar.xz 0027582392 26.3 MB
R-base.changes 0000435092 425 KB
R-base.spec 0000074042 72.3 KB
macros.R 0000001386 1.35 KB
Latest Revision
Detlef Steuer's avatar Detlef Steuer (dsteuer) committed (revision 140)
- CHANGES IN R 4.4.0:
  SIGNIFICANT USER-VISIBLE CHANGES:
    * Startup banners, R --version, sessionInfo() and R CMD check no
      longer report (64-bit) as part of the platform as this is almost
      universal - the increasingly rare 32-bit platforms will still
      report (32-bit).
      On Windows, ditto for window titles.
    * is.atomic(NULL) now returns FALSE, as NULL is not an atomic
      vector.  Strict back-compatibility would replace is.atomic(foo)
      by (is.null(foo) || is.atomic(foo)) but should happen only
      sparingly.
  NEW FEATURES:
    * The confint() methods for "glm" and "nls" objects have been
      copied to the stats package.  Previously, they were stubs which
      called versions in package MASS. The MASS namespace is no longer
      loaded if you invoke (say) confint(glmfit).  Further, the "glm"
      method for profile() and the plot() and pairs() methods for class
      "profile" have been copied from MASS to stats.  (profile.nls()
      and plot.profile.nls() were already in stats.)
    * The confint() and profile methods for "glm" objects have gained a
      possibility to do profiling based on the Rao Score statistic in
      addition to the default Likelihood Ratio. This is controlled by a
      new test = argument.
    * The pairs() method for "profile" objects has been extended with a
      which = argument to allow plotting only a subset of the
      parameters.
    * The "glm" method for anova() computes test statistics and
      p-values by default, using a chi-squared test or an F test
      depending on whether the dispersion is fixed or free.  Test
      statistics can be suppressed by giving argument test a false
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