Model | Simulated data | Estimation | Diagnostics | Marginal return levels | Uncertainty | Walk-forward validation | Reproducibility

Overview | What the distance represents | Distance and membership are different | [d(\textit{Tyrannosaurus},\textit{Dinosauria}) | Reproducible packaged examples | Stored lineages | Stored pairwise comparison | Reference distance matrix | Live lineage queries | Retrieving a lineage | Computing a pairwise distance | Finding the MRCA | Inspecting the path between nodes | Working with multiple taxa | Constructing a distance matrix | Distances between two sets of taxa | Finding the closest candidates | Focal distances | Clade operations | Testing membership | Filtering taxa | Shared clades and lineage comparison | Clustering, ordination, and visualization | Hierarchical clustering | Classification trees | Principal coordinates analysis | Heatmap | Name resolution and coverage | Cache management | Interpretation and reproducibility | Data source and citation

Overview | Inspecting the distance matrix | Hierarchical clustering | Tree representation with ape | Principal coordinates analysis | Taxonomic diversity and distinctness | Mantel test | PERMANOVA | Multivariate dispersion | Complete live workflow | Reporting recommendations | References

Overview | Input and observation origin | Endpoint estimators | Persistence tests | Records of variable reliability | Choosing a method | References

Installation | Step 1 — Browse the station catalogue | Step 2 — Download annual archives | Step 3 — Read data into R | Exploring the data | Daily aggregation | Temperature series | Precipitation | Monthly temperature boxplots | Wind speed distribution | Filtering and subsetting | Extracting CSV files | Cache management | Variable reference | Data source

Introduction | Test Battery | Understanding the returned trajectories | Study Conclusion

Scope | Definition | Ultrametric property | Dependence on the source classification | Ambiguous and missing taxa | Interpretation | Recommended reporting