<pre style='margin:0'>
Herby Gillot (herbygillot) pushed a commit to branch master
in repository macports-ports.
</pre>
<p><a href="https://github.com/macports/macports-ports/commit/d979c6d3275a7322364dfaa79f37b292ad2aa3b7">https://github.com/macports/macports-ports/commit/d979c6d3275a7322364dfaa79f37b292ad2aa3b7</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit d979c6d3275a7322364dfaa79f37b292ad2aa3b7
</span>Author: Sergey Fedorov <vital.had@gmail.com>
AuthorDate: Wed Mar 6 21:19:44 2024 +0700
<span style='display:block; white-space:pre;color:#404040;'> R-bayesanova: update to 1.6
</span>---
R/R-bayesanova/Portfile | 13 +++++++------
1 file changed, 7 insertions(+), 6 deletions(-)
<span style='display:block; white-space:pre;color:#808080;'>diff --git a/R/R-bayesanova/Portfile b/R/R-bayesanova/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index 817b6adee09..16095f87aaa 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/R/R-bayesanova/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/R/R-bayesanova/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -3,16 +3,17 @@
</span> PortSystem 1.0
PortGroup R 1.0
<span style='display:block; white-space:pre;background:#ffe0e0;'>-R.setup cran cran bayesanova 1.5
</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 riko_k bayesanova 1.6
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+revision 0
</span> categories-append math
maintainers nomaintainer
license GPL-2
<span style='display:block; white-space:pre;background:#ffe0e0;'>-description Bayesian inference in the Analysis of Variance via Markov Chain Monte Carlo in gaussian mixture models
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+description Bayesian inference in the Analysis of Variance \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ via Markov Chain Monte Carlo in gaussian mixture models
</span> long_description {*}${description}
<span style='display:block; white-space:pre;background:#ffe0e0;'>-checksums rmd160 02eb9d4e159eb346677e64774c6edb3b43a8b48a \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- sha256 d5b91d3958238b6f5b550600f35b3331542478c3c3ffcb800cb1e519432e5fc0 \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- size 25912
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums rmd160 8f4cb509d65d0cdf294e0571d9225e4426b2bc16 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ sha256 48be0ac4df6e36a626a8b85407649464fd58c60f3d81e3eb794efb533c79f51f \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ size 25999
</span> supported_archs noarch
depends_lib-append port:R-MCMCpack
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