This package offers `autoplot` methods to allow automatically visualizing tree objects (`hclust`, `dendrogram`, etc.) using `ggtree`. Coverage: <a href="https://www.routledge.com/Data-Integration-Manipulation-and-Visualization-of-Phylogenetic-Trees/Yu/p/book/9781032233574"><img src="https://yulab-smu.top/treedata-book/9781032233574_cover_review.png" style="width:200px;border:2px solid black;" align="right"/></a> + `agnes` object defined in `cluster` package + `bclust` object defined in `flexclust` (S4) or `e1071` (S3) package + `ClusterExperiment` object defined in `ClusterExperiment` package + `dendro` object defined in `ggdendro` package + `dendrogram` object defined in `stats` package - `FCPS::HierarchicalDBSCAN()[['Dendrogram']]` - `FCPS::HierarchicalClustering()[['Dendrogram']]` - `BHC::bhc()` + `diana` object defined in `cluster` package + `genoMatriXeR` object defined in the `regioneReloaded` package + `hclust` object defined in `stats` package - `amap::hcluster()` - `fastcluster::hclust()` - `genieclust::gclust()` - `FactoClass::ward.cluster()` - `goSTAG::performHierarchicalClustering()` - `HGC::HGC.dendrogram()` + `hdbscan` object defined in `dbscan` package + `hkmeans` object defined in `factoextra` package + `linkage` object defined in the `mdendro` package + `multiLocalZScore` object defined in the `regioneReloaded` package + `protoclust` object defined in `protoclust` package + `pvclust` object defined in `pvclust` package + `twins` object defined in `cluster` package It also provides `plot_xx` functions to visualize analysis output that is stored using R's built-in data type (e.g., `list`). + `plot_wgcna()` for `WGCNA::blockwiseModules()` output