Package: ergm.sign 0.1.2

ergm.sign: Exponential-Family Models for Signed Networks

Extends the 'ergm.multi' packages from the Statnet suite to fit (temporal) exponential-family random graph models for signed networks. The framework models positive and negative ties as interdependent, which allows estimation and testing of structural balance theory. The package also includes options for descriptive summaries, visualization, and simulation of signed networks. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Fritz, C., Mehrl, M., Thurner, P. W., & Kauermann, G. (2025) <doi:10.1017/pan.2024.21>.

Authors:Marc Schalberger [cre], Cornelius Fritz [aut], Pavel Krivitsky [ctb]

ergm.sign_0.1.2.tar.gz
ergm.sign_0.1.2.zip(r-4.7)ergm.sign_0.1.2.zip(r-4.6)ergm.sign_0.1.2.zip(r-4.5)
ergm.sign_0.1.2.tgz(r-4.6-x86_64)ergm.sign_0.1.2.tgz(r-4.6-arm64)ergm.sign_0.1.2.tgz(r-4.5-x86_64)ergm.sign_0.1.2.tgz(r-4.5-arm64)
ergm.sign_0.1.2.tar.gz(r-4.7-arm64)ergm.sign_0.1.2.tar.gz(r-4.7-x86_64)ergm.sign_0.1.2.tar.gz(r-4.6-arm64)ergm.sign_0.1.2.tar.gz(r-4.6-x86_64)
ergm.sign_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ergm.sign/json (API)

# Install 'ergm.sign' in R:
install.packages('ergm.sign', repos = c('https://mschalberger.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mschalberger/ergm.sign.statnet/issues

Datasets:
  • rebels - Conflict Events in Syrian Civil War
  • rebels_pooled - Conflict Events in Syrian Civil War
  • sponsor - Common Sponsor Data for Syrian Civil War Factions
  • tribes - Read Highland Tribes

On CRAN:

Conda:

6.11 score 2 stars 31 scripts 157 downloads 19 mentions 9 exports 55 dependencies

Last updated from:7c31870d1f. Checks:12 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR201
linux-devel-x86_64ERROR199
source / vignettesERROR311
linux-release-arm64ERROR183
linux-release-x86_64ERROR194
macos-release-arm64ERROR185
macos-release-x86_64ERROR455
macos-oldrel-arm64ERROR215
macos-oldrel-x86_64ERROR413
windows-develERROR182
windows-releaseERROR174
windows-oldrelERROR211
wasm-releaseOK133

Exports:ergm.signeval_loglikgofmple_signnetwork.signnetworks.signSignedsnctrlUnLayer

Dependencies:cachemcliclustercodacpp11DEoptimRdplyrergmergm.multievaluatefastmapgenericsgluegraphlayoutshighrigraphintergraphknitrlatticelifecyclelpSolveAPImagrittrMASSMatrixmemoisemgcvnetworknetworkDynamicnetworkLitenlmepermutepillarpkgconfigpurrrR6rbibutilsRcppRcppArmadilloRdpackrlangrlerobustbasestatnet.commonstringistringrtergmtibbletidyselecttrustutf8vctrsveganwithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
At least one common enemyCE-ergmTerm InitErgmTerm.CE
At leat one common friendCF-ergmTerm InitErgmTerm.CF
Dyadwise shared enemiesdse-ergmTerm InitErgmTerm.dse
Dyadwise shared friendsdsf-ergmTerm InitErgmTerm.dsf
ergm.sign: A Package for Exponential Random Graph Models for Signed Networksergm.sign
Edgewise shared enemiesese-ergmTerm InitErgmTerm.ese
Edgewise shared friendsesf-ergmTerm InitErgmTerm.esf
Evaluate Log-Likelihood via Path Samplingeval_loglik
Conduct Goodness-of-Fit Diagnostics for a Signed ERGMgof gof.sign
Geometrically weighted dyadwise shared enemies distributiongwdse-ergmTerm InitErgmTerm.gwdse
Geometrically weighted dyadwise shared friends distributiongwdsf-ergmTerm InitErgmTerm.gwdsf
Geometrically weighted edgewise shared enemy distributiongwese-ergmTerm InitErgmTerm.gwese
Geometrically weighted edgewise shared friend distributiongwesf-ergmTerm InitErgmTerm.gwesf
Geometrically weighted non-edgewise shared enemey distributiongwnse-ergmTerm InitErgmTerm.gwnse
Geometrically weighted non-edgewise shared friend distributiongwnsf-ergmTerm InitErgmTerm.gwnsf
Delayed node matching on attribute (lag-1)InitErgmTerm.delnodematch
Delayed reciprocityInitErgmTerm.delrecip
Evaluation of negative edgesInitErgmTerm.Neg
Evaluation of positive edgesInitErgmTerm.Pos
Fit an ERGM with MPLE using a logistic regression modelmple_sign
Create Signed Network Objectnetwork.sign
Combine Signed Networks into a Multi- or Dynamic-Network Objectnetworks.sign
Non-edgewise shared enemiesInitErgmTerm.nse nse-ergmTerm
Non-edgewise shared friendsInitErgmTerm.nsf nsf-ergmTerm
Visualization for Dynamic Signed Networksplot.dynamic.sign
Visualization for Signed Networksplot.static.sign
Conflict Events in Syrian Civil Warrebels
Conflict Events in Syrian Civil Warrebels_pooled
Construct a Signed Network Representation for ERGMSigned
Statnet Controlsnctrl
Common Sponsor Data for Syrian Civil War Factionssponsor
Summary formula method for dynamic signed networkssummary_formula.dynamic.sign
Network Attributes for Signed Networkssummary.dynamic.sign summary.static.sign
Read Highland Tribestribes
Multilayer network to single layer network.UnLayer