Algorithms for solving various Maximum Weight Connected Subgraph Problems, including variants with budget constraints, cardinality constraints, weighted edges and signals. The package represents an R interface to high-efficient solvers based on relax-and-cut approach (Ãlvarez-Miranda E., Sinnl M. (2017) <doi:10.1016/j.cor.2017.05.015>) mixed-integer programming (Loboda A., Artyomov M., and Sergushichev A. (2016) <doi:10.1007/978-3-319-43681-4_17>) and simulated annealing.
Version: 0.1.9 Depends: R (≥ 3.5) Imports: methods, igraph, Rcpp LinkingTo: Rcpp Suggests: knitr, rmarkdown, mathjaxr, testthat, BioNet, roxygen2, DLBCL Published: 2024-09-09 DOI: 10.32614/CRAN.package.mwcsr Author: Alexander Loboda [aut, cre], Nikolay Poperechnyi [aut], Eduardo Alvarez-Miranda [aut], Markus Sinnl [aut], Alexey Sergushichev [aut], Paul Hosler Jr. [cph] (Bundled JOpt Simple package), www.hamcrest.org [cph] (Bundled hamcrest package), Barak Naveh and Contributors [cph] (Bundled JGraphT package), The Apache Software Foundation [cph] (Bundled Apache Commons Math package) Maintainer: Alexander Loboda <aleks.loboda at gmail.com> BugReports: https://github.com/ctlab/mwcsr/issues License: MIT + file LICENSE URL: https://github.com/ctlab/mwcsr NeedsCompilation: yes SystemRequirements: Java (>=8) Materials: README CRAN checks: mwcsr results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mwcsr to link to this page.
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