From 24b555018183909ad28a0d3dcd5935a37fc0b13a Mon Sep 17 00:00:00 2001 From: zhiz Date: Fri, 27 Sep 2024 23:52:46 +0200 Subject: [PATCH] add doi --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 7cffb9f..3b5289e 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,11 @@ # BayesSurvive -[![CRAN](http://www.r-pkg.org/badges/version/BayesSurvive)](https://cran.r-project.org/package=BayesSurvive) +[![CRAN +status](https://www.r-pkg.org/badges/version/BayesSurvive.png)](https://cran.r-project.org/package=BayesSurvive) [![r-universe](https://ocbe-uio.r-universe.dev/badges/BayesSurvive)](https://ocbe-uio.r-universe.dev/BayesSurvive) [![R-CMD-check](https://github.com/ocbe-uio/BayesSurvive/workflows/R-CMD-check/badge.svg)](https://github.com/ocbe-uio/BayesSurvive/actions) [![License](https://img.shields.io/badge/License-GPLv3-brightgreen.svg)](https://www.gnu.org/licenses/gpl-3.0) +[![DOI](https://img.shields.io/badge/doi-10.32614%2FCRAN.package.BayesSurvive-brightgreen)](https://doi.org/10.32614/CRAN.package.BayesSurvive) This is a R/Rcpp package **BayesSurvive** for Bayesian survival models with graph-structured selection priors for sparse identification of high-dimensional features predictive of survival ([Madjar et al., 2021](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04483-z)) and its extensions with the use of a fixed graph via a Markov Random Field (MRF) prior for capturing known structure of high-dimensional features, e.g. disease-specific pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.