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Herby Gillot (herbygillot) pushed a commit to branch master
in repository macports-ports.

</pre>
<p><a href="https://github.com/macports/macports-ports/commit/d9b6e1617dba9b6a0ae3b59e97be6a4f29b4b35e">https://github.com/macports/macports-ports/commit/d9b6e1617dba9b6a0ae3b59e97be6a4f29b4b35e</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit d9b6e1617dba9b6a0ae3b59e97be6a4f29b4b35e
</span>Author: barracuda156 <vital.had@gmail.com>
AuthorDate: Thu Jun 1 18:21:58 2023 +0800

<span style='display:block; white-space:pre;color:#404040;'>    R-BiasedUrn: update to 2.0.10
</span>---
 R/R-BiasedUrn/Portfile | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

<span style='display:block; white-space:pre;color:#808080;'>diff --git a/R/R-BiasedUrn/Portfile b/R/R-BiasedUrn/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index 51d8edc1c62..b4b9dad53e3 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/R/R-BiasedUrn/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/R/R-BiasedUrn/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -3,16 +3,16 @@
</span> PortSystem          1.0
 PortGroup           R 1.0
 
<span style='display:block; white-space:pre;background:#ffe0e0;'>-R.setup             cran cran BiasedUrn 2.0.9
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-revision            1
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+R.setup             cran cran BiasedUrn 2.0.10
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+revision            0
</span> categories-append   math
 maintainers         {@barracuda156 gmail.com:vital.had} openmaintainer
 license             GPL-3
 description         Biased Urn model distributions
 long_description    Statistical models of biased sampling in the form \
                     of univariate and multivariate non-central hypergeometric distributions.
<span style='display:block; white-space:pre;background:#ffe0e0;'>-checksums           rmd160  425b79339e320ab5901c5bed7489c4b60f03819f \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-                    sha256  bac62bbbc3e2417772f8784996a6c2d0857adb42e86e46b1a9703b187a406b09 \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-                    size    261831
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums           rmd160  68f8cbc5cb9910a886be96dfdd60c36fd5d809f8 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sha256  1bbb3d3319ae354f6b6a8b4f67be98d3c1632ba6c3bef6458064e81ffefe604b \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    size    261898
</span> 
 test.run            yes
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