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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:1.1.7
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:2025-05-27
DOI:10.32614/CRAN.package.Mercator
Author:Kevin R. Coombes [aut, cre], Caitlin E. Coombes [aut]
Maintainer:Kevin R. Coombes <krc at silicovore.com>
License:Apache License (== 2.0)
URL:http://oompa.r-forge.r-project.org/
NeedsCompilation:no
Materials:NEWS
CRAN checks:Mercator results

Documentation:

Reference manual:Mercator.html ,Mercator.pdf
Vignettes:Mercator for Continuous Data (source,R code)
Using the Mercator Package (source,R code)
UMAP and SOM from Distance Matrices (source,R code)

Downloads:

Package source: Mercator_1.1.7.tar.gz
Windows binaries: r-devel:Mercator_1.1.7.zip, r-release:Mercator_1.1.7.zip, r-oldrel:Mercator_1.1.7.zip
macOS binaries: r-release (arm64):Mercator_1.1.7.tgz, r-oldrel (arm64):Mercator_1.1.7.tgz, r-release (x86_64):Mercator_1.1.7.tgz, r-oldrel (x86_64):Mercator_1.1.7.tgz
Old sources: Mercator archive

Reverse dependencies:

Reverse imports:RPointCloud
Reverse suggests:RCytoGPS,SillyPutty

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=Mercatorto link to this page.


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