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intergraph: Coercion Routines for Network Data Objects

Functions implemented in this package allow to coerce (i.e. convert) network data between classes provided by other R packages. Currently supported classes are those defined in packages: network and igraph.

Version: 2.0-4
Depends: R (≥ 2.10)
Imports: network (≥ 1.4-2), igraph (≥ 0.6-0), utils
Suggests: rmarkdown, knitr, roxygen2, testthat, tibble
Published: 2024-02-01
Author: Michał Bojanowski ORCID iD [aut, cre]
Maintainer: Michał Bojanowski <michal2992 at gmail.com>
BugReports: https://github.com/mbojan/intergraph/issues
License: GPL-3
URL: https://mbojan.github.io/intergraph/
NeedsCompilation: no
Citation: intergraph citation info
Materials: README
CRAN checks: intergraph results

Documentation:

Reference manual: intergraph.pdf
Vignettes: Short intergraph tutorial

Downloads:

Package source: intergraph_2.0-4.tar.gz
Windows binaries: r-devel: intergraph_2.0-4.zip, r-release: intergraph_2.0-4.zip, r-oldrel: intergraph_2.0-4.zip
macOS binaries: r-release (arm64): intergraph_2.0-4.tgz, r-oldrel (arm64): intergraph_2.0-4.tgz, r-release (x86_64): intergraph_2.0-4.tgz, r-oldrel (x86_64): intergraph_2.0-4.tgz
Old sources: intergraph archive

Reverse dependencies:

Reverse imports: bigergm, BioNERO, BlockmodelingGUI, bootcluster, CEMiTool, CINNA, econet, gatom, intensitynet, interplex, ITNr, linkprediction, lolog, metanetwork, motifr, netmediate, pkggraph, syntenet
Reverse suggests: GGally, netplot, nosoi, vivid, webSDM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=intergraph 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.
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