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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: 1.1.5
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: 2024-10-22
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.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_1.1.5.tar.gz
Windows binaries: r-devel: Mercator_1.1.5.zip, r-release: Mercator_1.1.5.zip, r-oldrel: Mercator_1.1.5.zip
macOS binaries: r-release (arm64): Mercator_1.1.5.tgz, r-oldrel (arm64): Mercator_1.1.5.tgz, r-release (x86_64): Mercator_1.1.5.tgz, r-oldrel (x86_64): Mercator_1.1.5.tgz
Old sources: Mercator archive

Reverse dependencies:

Reverse imports: RPointCloud
Reverse suggests: RCytoGPS, SillyPutty

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Mercator to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.