netrics: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties

Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.

Version:	0.2.1
Depends:	R (≥ 3.6.0), manynet
Imports:	dplyr, igraph (≥ 2.1.0)
Suggests:	autograph, sna, testthat (≥ 3.0.0)
Published:	2026-04-06
DOI:	10.32614/CRAN.package.netrics
Author:	James Hollway [cre, aut, ctb] (IHEID)
Maintainer:	James Hollway <james.hollway at graduateinstitute.ch>
BugReports:	https://github.com/stocnet/netrics/issues
License:	MIT + file LICENSE
URL:	https://stocnet.github.io/netrics/
NeedsCompilation:	no
Language:	en-GB
Materials:	README, NEWS
CRAN checks:	netrics results

Documentation:

Reference manual:

netrics.html , netrics.pdf

Downloads:

Package source:	netrics_0.2.1.tar.gz
Windows binaries:	r-devel: netrics_0.2.0.zip, r-release: netrics_0.2.0.zip, r-oldrel: netrics_0.2.0.zip
macOS binaries:	r-release (arm64): netrics_0.2.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): netrics_0.2.0.tgz, r-oldrel (x86_64): netrics_0.2.0.tgz
Old sources:	netrics archive

Reverse dependencies:

Reverse depends:	migraph
Reverse suggests:	autograph

Linking:

Please use the canonical form https://CRAN.R-project.org/package=netrics to link to this page.