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

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<p><a href="https://github.com/macports/macports-ports/commit/1d6dec65873977bf5262e3e52ba3964b4923016e">https://github.com/macports/macports-ports/commit/1d6dec65873977bf5262e3e52ba3964b4923016e</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit 1d6dec65873977bf5262e3e52ba3964b4923016e
</span>Author: barracuda156 <vital.had@gmail.com>
AuthorDate: Thu May 16 09:00:12 2024 +0800

<span style='display:block; white-space:pre;color:#404040;'>    R-bgms: update to 0.1.3.1
</span>---
 R/R-bgms/Portfile | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

<span style='display:block; white-space:pre;color:#808080;'>diff --git a/R/R-bgms/Portfile b/R/R-bgms/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index 926767d9743..1b69606818d 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/R/R-bgms/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/R/R-bgms/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -3,8 +3,8 @@
</span> PortSystem          1.0
 PortGroup           R 1.0
 
<span style='display:block; white-space:pre;background:#ffe0e0;'>-R.setup             cran MaartenMarsman bgms 0.1.3
</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 MaartenMarsman bgms 0.1.3.1
</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-2+
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -12,9 +12,9 @@ description         Bayesian variable selection for networks of binary and/or or
</span> long_description    Bayesian variable selection methods for analyzing the structure \
                     of a Markov random field model for a network of binary and/or ordinal variables.
 homepage            https://maartenmarsman.github.io/bgms
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</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-                    size    85494
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums           rmd160  8c81f6e4b3de125722824fada243efaf1c5aa8ab \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sha256  af00dacca1b2714c4c4a4271b6bb781e23c01d46ee4d7a1813b80abb74c89b7a \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    size    86103
</span> 
 depends_lib-append  port:R-Rcpp \
                     port:R-RcppProgress \
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