Clustering and Visualizing Distance Matrices [R package Mercator version 1.1.7]

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年05月27日

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:

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