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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 |
| Reference manual: | CTD.pdf |
| Vignettes: |
CTD Lab Exercise |
| 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, r-oldrel (x86_64): CTD_1.2.tgz |
| Old sources: | CTD archive |
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