<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/37739f68492c3759711913bf1010019f764913b6">https://github.com/macports/macports-ports/commit/37739f68492c3759711913bf1010019f764913b6</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit 37739f68492c3759711913bf1010019f764913b6
</span>Author: barracuda156 <vital.had@gmail.com>
AuthorDate: Tue Aug 22 15:06:17 2023 +0800
<span style='display:block; white-space:pre;color:#404040;'> R-glmnet: update to 4.1-8
</span>---
R/R-glmnet/Portfile | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
<span style='display:block; white-space:pre;color:#808080;'>diff --git a/R/R-glmnet/Portfile b/R/R-glmnet/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index b4b3bdd0053..69393c862e1 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/R/R-glmnet/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/R/R-glmnet/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 cran glmnet 4.1-7
</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 glmnet 4.1-8
</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;'>@@ -14,16 +14,16 @@ long_description Extremely efficient procedures for fitting the entire lasso
</span> and multinomial regression models, Poisson regression, Cox model, \
multiple-response Gaussian and the grouped multinomial regression.
homepage https://glmnet.stanford.edu
<span style='display:block; white-space:pre;background:#ffe0e0;'>-checksums rmd160 03ee8080b8a7ddc4b084e3ea9ad44d1ca283b765 \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- sha256 b3a0b606d99df0256eb68e6ebd271e071b246900a4379641af2e7d548c70eaa8 \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- size 2436304
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums rmd160 ce6a9ba8325d06231bb9788c0142e68ddcad98f5 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ sha256 1ddbe5ce07076d1bdf58b0202ebd0ceac8eeb4796c5175681adb9e58c30ddcfe \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ size 2439515
</span>
depends_lib-append port:R-foreach \
port:R-Rcpp \
port:R-RcppEigen \
port:R-shape
<span style='display:block; white-space:pre;background:#ffe0e0;'>-compiler.cxx_standard 2014
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+compiler.cxx_standard 2017
</span> compilers.setup require_fortran
depends_test-append port:R-knitr \
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