Christos Argyropoulos MD, PhD<p><span class="h-card" translate="no"><a href="https://chirp.social/@Perl" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Perl</span></a></span> One of the things I learned tonight is that the <a href="https://mstdn.science/tags/specialfunctions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>specialfunctions</span></a> and <a href="https://mstdn.science/tags/statisticaldistributions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticaldistributions</span></a> library beating inside <a href="https://mstdn.science/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> is available as a standalone version. While this speaks volumes of the portability of <a href="https://mstdn.science/tags/clang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>clang</span></a>, it also creates opportunities for transporting a significant chunk of R's functionalities into other languages, e.g. by writing swig interfaces. This may be an interesting <a href="https://mstdn.science/tags/perl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>perl</span></a> <a href="https://mstdn.science/tags/pdl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pdl</span></a> project</p>