Robust Hierarchical Co-Clustering to Identify Significant Co-Cluster R package rhcoclust version 2.0.0 Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in absence and presence of outlying observations. It can be used to explore important co-clusters consisting of important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020) <doi:10.1101/2020.05.13.094946>. Software Depends: R (>= 3.5.0) Imports: fields, grDevices, graphics, igraph, stats Md. Bahadur Badsha <mbbadshar@gmail.com> Comprehensive R Archive Network (CRAN) Md. Bahadur Badsha [aut, cre], Mohammad Nazmol Hasan [aut], Md. Nurul Haque Mollah [aut] GPL (>= 2) 2023-01-29 application/tgz https://CRAN.R-project.org/package=rhcoclust doi:10.32614/CRAN.package.rhcoclust