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(This article was first published on <strong><a href="https://radfordneal.wordpress.com/2016/10/08/new-release-of-pqr-faster-and-now-compatible-with-r-2-15-1/"> R Programming – Radford Neal's blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<td valign="top">I have released a new version of my “pretty quick” R interpreter, pqR-2016-10-05.
<p>One major change with this version is that pqR, which was based on R-2.15.0, is now compatible with R-2.15.1.  This allows for an increased number of packages in the <a target="_blank" href="https://github.com/radfordneal/pqR/wiki/Packages-tested-with-pqR">pqR repository</a>.




<p>This release also has some significant speed improvements, a new form of the “for” statement, for conveniently iterating across columns or down rows of a matrix, and a new, less error-prone way for C functions to “protect” objects from garbage collection. There are also a few bug fixes (including fixes for some bugs that are also in the current R core release).</p>
<p>You can read more in the <a target="_blank" href="http://pqr-project.org/NEWS.txt">NEWS</a> file, and get it from <a target="_blank" href="http://pqr-project.org/">pqR-project.org</a>.</p>
<p>Currently, pqR is distributed in source form only, and so you need to be comfortable compiling it yourself. It has been tested on Linux/Unix systems (with Intel/AMD, ARM, PowerPC, and SPARC processors), on Mac OS X (including macOS Sierra), and on Microsoft Windows (XP, 7, 8, 10) systems.</p>
<p>I plan to soon put up posts with more details on some of the features of this and the previous pqR release, as well as a post describing some of my future plans for pqR.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://radfordneal.wordpress.com/2016/10/08/new-release-of-pqr-faster-and-now-compatible-with-r-2-15-1/"> R Programming – Radford Neal's blog</a></strong>.</div>
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