Package: CTD 1.3
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?
Authors:
CTD_1.3.tar.gz
CTD_1.3.zip(r-4.7-any)CTD_1.3.zip(r-4.6-any)CTD_1.3.zip(r-4.5-any)
CTD_1.3.tgz(r-4.6-any)CTD_1.3.tgz(r-4.5-any)
CTD_1.3.tar.gz(r-4.7-any)CTD_1.3.tar.gz(r-4.6-any)
CTD_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CTD/json (API)
| # Install 'CTD' in R: |
| install.packages('CTD', repos = c('https://vpetrosyan.r-universe.dev', 'https://cloud.r-project.org')) |
- cohorts_coded - Disease cohorts with coded identifiers
- Miller2015 - Miller et al.
- Thistlethwaite2020 - Thistlethwaite et al.
- Wangler2017 - Wangler et al.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8ced1dbae4. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 155 | ||
| source / vignettes | OK | 230 | ||
| linux-release | OK | 138 | ||
| macos-release | OK | 341 | ||
| macos-oldrel | OK | 272 | ||
| windows-devel | OK | 89 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 139 |
Exports:data.combineDatadata.imputeDatadata.surrogateProfilesdata.zscoreDatagraph.connectToExtgraph.diffuseP1graph.diffusionSnapShotgraph.naivePruninggraph.netWalkSnapShotmle.getEncodingLengthmle.getMinPtDistancemle.getPtBSbyKmle.getPtDistmultiNode.getNodeRankssingleNode.getNodeRanksNstat.entropyFunctionstat.fishersMethodstat.getDirSim
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
