CTD: A Method for 'Connecting The Dots' in Weighted Graphs

A method for pattern discovery in weighted graphs as outlined in Thistlethwaite et al. (2021) <doi:10.1371/journal.pcbi.1008550>. Two use cases are achieved: 1) Given a weighted graph and a subset of its nodes, do the nodes show significant connectedness? 2) Given a weighted graph and two subsets of its nodes, are the subsets close neighbors or distant?

Version: 1.0.0
Depends: R (≥ 4.0), gmp, igraph, stats, grDevices, graphics
Suggests: knitr, rmarkdown, huge, ggplot2, gplots, RColorBrewer, testthat
Published: 2021-03-09
Author: Lillian Thistlethwaite [aut, cre]
Maintainer: Lillian Thistlethwaite <lillian.thistlethwaite at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: gmp (>=5.0)
Citation: CTD citation info
Materials: README NEWS
CRAN checks: CTD results

Downloads:

Reference manual: CTD.pdf
Vignettes: CTD Lab Exercise
Package source: CTD_1.0.0.tar.gz
Windows binaries: r-devel: CTD_1.0.0.zip, r-release: CTD_1.0.0.zip, r-oldrel: CTD_1.0.0.zip
macOS binaries: r-release (arm64): CTD_1.0.0.tgz, r-release (x86_64): CTD_1.0.0.tgz, r-oldrel: CTD_1.0.0.tgz
Old sources: CTD archive

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