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README.md

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 # 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.