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: 1.1.1
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: 2021-07-16
Author: Kevin R. Coombes, Caitlin E. Coombes
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

Downloads:

Reference manual: Mercator.pdf
Vignettes: Mercator for Continuous Data
Using the Mercator Package
UMAP and SOM from Distance Matrices
Package source: Mercator_1.1.1.tar.gz
Windows binaries: r-devel: Mercator_1.1.1.zip, r-release: Mercator_1.1.1.zip, r-oldrel: Mercator_1.1.1.zip
macOS binaries: r-release (arm64): Mercator_1.0.0.tgz, r-release (x86_64): Mercator_1.1.1.tgz, r-oldrel: Mercator_1.1.1.tgz
Old sources: Mercator archive

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