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Algebraic procedures for analyses of multiple social networks are delivered with this package as described in Ostoic (2020) <doi:10.18637/jss.v092.i11>. 'multiplex' makes possible, among other things, to create and manipulate multiplex, multimode, and multilevel network data with different formats. Effective ways are available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup with decomposition procedures or semiring structures with the relational bundles occurring in different types of multivariate networks. 'multiplex' provides also an algebraic approach for affiliation networks through Galois derivations between families of the pairs of subsets in the two domains of the network with visualization options.
Version: | 3.8-3 |
Depends: | R (≥ 4.2.0) |
Imports: | methods |
Suggests: | multigraph, Rgraphviz, knitr |
Published: | 2024-11-06 |
DOI: | 10.32614/CRAN.package.multiplex |
Author: | Antonio Rivero Ostoic [aut, cre] |
Maintainer: | Antonio Rivero Ostoic <multiplex at post.com> |
BugReports: | https://github.com/mplex/multiplex/issues/ |
License: | GPL-3 |
URL: | https://github.com/mplex/multiplex/ |
NeedsCompilation: | no |
Citation: | multiplex citation info |
Materials: | ChangeLog |
In views: | Psychometrics |
CRAN checks: | multiplex results |
Reference manual: | multiplex.pdf |
Vignettes: |
Working with Two-Mode Networks in multiplex (source, R code) |
Package source: | multiplex_3.8-3.tar.gz |
Windows binaries: | r-devel: multiplex_3.8-3.zip, r-release: multiplex_3.8-3.zip, r-oldrel: multiplex_3.8-3.zip |
macOS binaries: | r-release (arm64): multiplex_3.8-3.tgz, r-oldrel (arm64): multiplex_3.8-3.tgz, r-release (x86_64): multiplex_3.8-3.tgz, r-oldrel (x86_64): multiplex_3.8-3.tgz |
Old sources: | multiplex archive |
Reverse depends: | multigraph |
Reverse imports: | sdam |
Reverse suggests: | leiden |
Please use the canonical form https://CRAN.R-project.org/package=multiplex to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.