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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/79b96e7f3e4bf9ea2182b6901370ea599fdbb7f7">https://github.com/macports/macports-ports/commit/79b96e7f3e4bf9ea2182b6901370ea599fdbb7f7</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit 79b96e7f3e4bf9ea2182b6901370ea599fdbb7f7
</span>Author: Sergey Fedorov <vital.had@gmail.com>
AuthorDate: Thu Jun 8 07:12:39 2023 +0800

<span style='display:block; white-space:pre;color:#404040;'>    R-hbamr: update to 1.1.3
</span>---
 R/R-hbamr/Portfile | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

<span style='display:block; white-space:pre;color:#808080;'>diff --git a/R/R-hbamr/Portfile b/R/R-hbamr/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index ed98ca7251b..04a1212994a 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/R/R-hbamr/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/R/R-hbamr/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 jbolstad hbamr 1.1.1
</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 jbolstad hbamr 1.1.3
</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+
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -12,9 +12,9 @@ description         Hierarchical Bayesian Aldrich–McKelvey scaling via Stan
</span> long_description    Perform hierarchical Bayesian Aldrich–McKelvey scaling using Hamiltonian Monte Carlo via Stan. \
                     Aldrich–McKelvey (AM) scaling is a method for estimating the ideological positions \
                     of survey respondents and political actors on a common scale using positional survey data.
<span style='display:block; white-space:pre;background:#ffe0e0;'>-checksums           rmd160  905701fdd730b3db669b60f966aa13582c2cd147 \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-                    sha256  67c835d3b7c6465457b99087e3231131666a4ba130d5f7f099777eaa4ff64d4a \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-                    size    696945
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums           rmd160  fc9d783ad972e97bb52b807d0cedfbe5a9933a27 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sha256  21fa07d4c01115d224ab09f60eee8692165163ca92b9458ff3faca32b7787d15 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    size    687911
</span> 
 depends_lib-append  port:R-BH \
                     port:R-dplyr \
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