title: Random Number Generator for R 3.6.1
body: <p>I have the latest version of R (3.6.1), but when I use functions that are using the random number generator, they default to an older (i.e. pre-3.6.0) RNG which uses Rounding instead of Rejection for sampling. I am not sure why this is happening, and would appreciate your help resolving it.</p>
  
  <pre><code>set.seed(1)
  sample(20)
  RNGkind()
  R.version
  </code></pre>
  
  <p>Below are the results of my run:</p>
  
  <pre><code>set.seed(1)
  sample(20)
  # 6  8 11 16  4 14 15  9 19  1  3  2 20 10  5  7 12 17 18 13
  
  RNGkind()
  # "Mersenne-Twister" "Inversion"        "Rounding"
  
  R.version
  
  platform       x86_64-w64-mingw32                         
  arch           x86_64                                     
  os             mingw32                                    
  system         x86_64, mingw32                            
  status         Patched                                    
  major          3                                          
  minor          6.1                                        
  year           2019                                       
  month          09                                         
  day            06                                         
  svn rev        77160                                      
  language       R                                          
  version.string R version 3.6.1 Patched (2019-09-06 r77160)
  nickname       Action of the Toes        
  </code></pre>
  
  <p>Based on the <a href="https://cran.r-project.org/doc/manuals/r-release/NEWS.html" rel="noreferrer">NEWS</a> and the <a href="https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17494" rel="noreferrer">linked discussion</a>, I am expecting the output of <code>RNGkind()</code> to look as follows instead:</p>
  
  <pre><code># "Mersenne-Twister" "Inversion"        "Rejection"
  </code></pre>
  
  <p>Am I misunderstanding the NEWS?</p>