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author | Tobias Geerinckx-Rice <me@tobias.gr> | 2018-03-15 20:29:14 +0100 |
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committer | Tobias Geerinckx-Rice <me@tobias.gr> | 2018-03-17 16:37:20 +0100 |
commit | d062957a8797d1bd6cc44bdc94259051f42afaab (patch) | |
tree | 015e3bd0250c23da794579d6df27b151bdc3b9da /gnu/packages/statistics.scm | |
parent | 93e8731dcb60538183ecc6780ce68165deadfb8d (diff) | |
download | gnu-guix-d062957a8797d1bd6cc44bdc94259051f42afaab.tar gnu-guix-d062957a8797d1bd6cc44bdc94259051f42afaab.tar.gz |
gnu: Use HTTPS for r-project.org home pages.
* gnu/packages/cran.scm (r-performanceanalytics, r-qap, r-gclus, r-leaps)
(r-splus2r, r-ifultools, r-sapa, r-quantmod, r-tseries, r-wmtsa, r-fractal)
(r-urca, r-trend, r-expm, r-complexplus, r-powerplus, r-signal, r-abind)
(r-prroc)[home-page]: Use HTTPS.
* gnu/packages/emacs.scm (emacs-ess)[home-page]: Likewise.
* gnu/packages/graph.scm (r-diffusionmap)[home-page]: Likewise.
* gnu/packages/statistics.scm (r-minimal, r-quantreg)[home-page]: Likewise.
Diffstat (limited to 'gnu/packages/statistics.scm')
-rw-r--r-- | gnu/packages/statistics.scm | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm index 78afb77a8b..8afccb0737 100644 --- a/gnu/packages/statistics.scm +++ b/gnu/packages/statistics.scm @@ -271,7 +271,7 @@ as.POSIXct(if (\"\" != Sys.getenv(\"SOURCE_DATE_EPOCH\")) {\ (list (search-path-specification (variable "R_LIBS_SITE") (files (list "site-library/"))))) - (home-page "http://www.r-project.org/") + (home-page "https://www.r-project.org/") (synopsis "Environment for statistical computing and graphics") (description "R is a language and environment for statistical computing and graphics. @@ -5018,7 +5018,7 @@ using modular prediction and response module classes.") `(("r-matrix" ,r-matrix) ("r-matrixmodels" ,r-matrixmodels) ("r-sparsem" ,r-sparsem))) - (home-page "http://www.r-project.org") + (home-page "https://www.r-project.org") (synopsis "Quantile regression") (description "This package provides an estimation and inference methods for models |