Package: modMax 1.1
Maria Schelling
modMax: Community Structure Detection via Modularity Maximization
The algorithms implemented here are used to detect the community structure of a network. These algorithms follow different approaches, but are all based on the concept of modularity maximization.
Authors:
modMax_1.1.tar.gz
modMax_1.1.tar.gz(r-4.7-any)modMax_1.1.tar.gz(r-4.6-any)
modMax_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
modMax/json (API)
| # Install 'modMax' in R: |
| install.packages('modMax', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:13a36b0b6b. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 167 | ||
| linux-release-x86_64 | OK | 112 | ||
| wasm-release | OK | 105 |
Exports:cdextremalOptimizationgeneticAlgorithmgreedylocalModularitylocalModularityWanglouvainmomemsgvmmultiWaypcseossrgplussaIndividualCollectiveMovessimulatedAnnealingspectral1spectral2spectralOptimizationvertexSim
Dependencies:clicpp11gluegtoolsigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate network modularity via maximization algorithms | modMax-package modMax |
| Extremal optimization (EO) algorithms | extremalOptimization pcseoss |
| Genetic algorithm | geneticAlgorithm |
| Greedy algorithms | cd greedy louvain mome msgvm rgplus vertexSim |
| Algorithms using local modularity | localModularity localModularityWang |
| Simulated annealing algorithms | saIndividualCollectiveMoves simulatedAnnealing |
| Spectral optimization algorithms | multiWay spectral1 spectral2 spectralOptimization |