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: 1.2
Depends: R (≥ 4.0), igraph, stats, grDevices, graphics
Suggests: knitr, rmarkdown, huge, ggplot2, gplots, RColorBrewer, testthat
Published: 2023-10-24
Author: Varduhi Petrosyan[aut,cre],Lillian Thistlethwaite [aut,cre]
Maintainer: Varduhi Petrosyan <varduhi.petrosyan at bcm.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: CTD citation info
Materials: README NEWS
CRAN checks: CTD results

Documentation:

Reference manual: CTD.pdf
Vignettes: CTD Lab Exercise

Downloads:

Package source: CTD_1.2.tar.gz
Windows binaries: r-devel: CTD_1.2.zip, r-release: CTD_1.2.zip, r-oldrel: CTD_1.2.zip
macOS binaries: r-release (arm64): CTD_1.2.tgz, r-oldrel (arm64): CTD_1.2.tgz, r-release (x86_64): CTD_1.2.tgz
Old sources: CTD archive

Linking:

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