From d7fb03fcfff09b73d734945471fa5e21cbf7477b Mon Sep 17 00:00:00 2001 From: Xavier Robin Date: Wed, 4 Oct 2023 15:24:05 +0200 Subject: [PATCH] Update web page. Expasy page is outdated --- DESCRIPTION | 2 +- README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index f20a627..d8637f1 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -27,7 +27,7 @@ Authors@R: c(person("Xavier", "Robin", role = c("cre", "aut"), comment = "DeLong paired test CI")) Description: Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves. License: GPL (>= 3) -URL: http://expasy.org/tools/pROC/ +URL: https://xrobin.github.io/pROC/ BugReports: https://github.com/xrobin/pROC/issues LazyData: yes diff --git a/README.md b/README.md index fa8390c..2e2c5a6 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ An [R](https://www.r-project.org/) package to display and analyze ROC curves. For more information, see: 1. Xavier Robin, Natacha Turck, Alexandre Hainard, *et al.* (2011) “pROC: an open-source package for R and S+ to analyze and compare ROC curves”. *BMC Bioinformatics*, **7**, 77. DOI: [10.1186/1471-2105-12-77](http://dx.doi.org/10.1186/1471-2105-12-77) -2. [The official web page on ExPaSy](http://www.expasy.org/tools/pROC/) +2. [The official web page](https://xrobin.github.io/pROC/) 3. [The CRAN page](https://cran.r-project.org/package=pROC) 4. [My blog](http://xavier.robin.name/tag/pROC/) 5. [The FAQ](https://github.com/xrobin/pROC/wiki/FAQ---Frequently-asked-questions)