Mercator: Clustering and Visualizing Distance Matrices

Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data. See Abrams and colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.

Version: 1.1.4
Depends: R (≥ 3.5), Thresher (≥ 1.1)
Imports: methods, stats, utils, graphics, grDevices, KernSmooth, cluster, Rtsne, ClassDiscovery, Polychrome, dendextend, igraph, flexmix, umap, kohonen
Suggests: knitr, rmarkdown
Published: 2024-04-28
DOI: 10.32614/CRAN.package.Mercator
Author: Kevin R. Coombes, Caitlin E. Coombes
Maintainer: Kevin R. Coombes <krc at>
License: Apache License (== 2.0)
NeedsCompilation: no
Materials: NEWS
CRAN checks: Mercator results


Reference manual: Mercator.pdf
Vignettes: Mercator for Continuous Data
Using the Mercator Package
UMAP and SOM from Distance Matrices


Package source: Mercator_1.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Mercator_1.1.4.tgz, r-oldrel (arm64): Mercator_1.1.4.tgz, r-release (x86_64): Mercator_1.1.4.tgz, r-oldrel (x86_64): Mercator_1.1.4.tgz
Old sources: Mercator archive

Reverse dependencies:

Reverse imports: RPointCloud
Reverse suggests: RCytoGPS, SillyPutty


Please use the canonical form to link to this page.