This document | DMRnet package | OK, so let's get started | Estimating and inspecting a sequence of models | Selecting best models | Model selection with GIC | Model selection with $K$-fold Cross Validation | Predicting response for new observations | Classification with 2 classes | References

This document | Why bother? | Introduction | Compatibility of hclust1d with stats::hclust | Choosing a linkage function in hclust1d | Choosing a distance metric in hclust1d | Exceptions | Replacing stats::hclust in case of ward.D, centroid or median linkage functions | Optional changes to the surrounding code | Replacing stats::hclust in case of all other linkage functions, besides ward.D, centroid or median

This document | Clustering in 1D | Hierarchical clustering in a nutshell | Linkage function concept | Merging height | Linkage functions list | Computational complexity of 1D hierarchical clustering | OK, so let's get started | How to change the linkage function used for clustering | Should I provide points or rather a distance matrix to hclust1d? | Examples | What about squared distances? | A note on ward.D2 and ward.D | Cutting heights | References