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A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.
| Version: | 2.8 |
| Depends: | R (≥ 2.0.0), utils, statnet.common, network |
| Suggests: | rgl, numDeriv, SparseM |
| Published: | 2024-09-08 |
| DOI: | 10.32614/CRAN.package.sna |
| Author: | Carter T. Butts [aut, cre, cph] |
| Maintainer: | Carter T. Butts <buttsc at uci.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://statnet.org |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | Bayesian, GraphicalModels, Optimization |
| CRAN checks: | sna results |
| Reference manual: | sna.pdf |
| Package source: | sna_2.8.tar.gz |
| Windows binaries: | r-devel: sna_2.8.zip, r-release: sna_2.8.zip, r-oldrel: sna_2.8.zip |
| macOS binaries: | r-release (arm64): sna_2.8.tgz, r-oldrel (arm64): sna_2.8.tgz, r-release (x86_64): sna_2.8.tgz, r-oldrel (x86_64): sna_2.8.tgz |
| Old sources: | sna archive |
| Reverse depends: | bipartite, CEoptim, cssTools, EloRating, GGPA, ndtv, NetCluster, relevent, SSrat, statnet |
| Reverse imports: | BANAM, BasketballAnalyzeR, BGGM, bootcluster, btergm, CEMiTool, CINNA, CluMSID, ClusTCR2, concorR, conserveR, dnr, ecoCopula, econet, EGAnet, ergMargins, fglsnet, ftsspec, gatom, GGMncv, GGMnonreg, ggnetwork, haplotypes, intensitynet, ITNr, keyplayer, latentnet, Linkage, metanetwork, mlergm, MRPC, netdiffuseR, netmap, netmediate, netplot, networkABC, NetworkExtinction, quanteda.textplots, sfc, spaceNet, statnetWeb, VBLPCM, WOTPLY |
| Reverse suggests: | asnipe, bigergm, blockmodeling, discourseGT, equateIRT, ergm, ergmito, GGally, GUEST, manynet, miaSim, MSG, network, PhosR, pkggraph, QuantNorm, RGraph2js, sand, tip, tsna, vivid, webSDM |
Please use the canonical form https://CRAN.R-project.org/package=sna 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.