This package is considered a duplicate. The official version of this package is found at:https://mschalberger.r-universe.dev/ergm.sign

Package: ergm.sign 0.1.3

Marc Schalberger

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_0.1.3.tar.gz
ergm.sign_0.1.3.tar.gz(r-4.7-arm64)ergm.sign_0.1.3.tar.gz(r-4.7-x86_64)ergm.sign_0.1.3.tar.gz(r-4.6-arm64)ergm.sign_0.1.3.tar.gz(r-4.6-x86_64)
ergm.sign_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ergm.sign/json (API)

# Install 'ergm.sign' in R:

install.packages('ergm.sign', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.11 score 32 scripts 236 downloads 19 mentions 9 exports 51 dependencies

Last updated from:8330039718. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	226
linux-devel-x86_64	OK	237
source / vignettes	OK	224
linux-release-arm64	OK	202
linux-release-x86_64	OK	198
wasm-release	OK	139

Exports:ergm.sign eval_loglik mple_sign network.sign networks.sign pool.sign Signed snctrl UnLayer

Dependencies:cachem cli coda cpp11 DEoptimR dplyr ergm ergm.multi evaluate fastmap generics glue graphlayouts highr igraph intergraph knitr lattice lifecycle lpSolveAPI magrittr MASS Matrix memoise network networkDynamic networkLite nlme pillar pkgconfig purrr R6 rbibutils Rcpp RcppArmadillo Rdpack rlang rle robustbase statnet.common stringi stringr tergm tibble tidyselect trust utf8 vctrs withr xfun yaml

Using ergm.sign to analyse the signed Read's Highland Tribes dataset

Rendered fromtribes.Rmdusingknitr::rmarkdown

Last update: 2026-07-20
Started: 2025-11-21

Help page	Topics
At least one common enemy	CE-ergmTerm InitErgmTerm.CE
At leat one common friend	CF-ergmTerm InitErgmTerm.CF
Dyadwise shared enemies	dse-ergmTerm InitErgmTerm.dse
Dyadwise shared friends	dsf-ergmTerm InitErgmTerm.dsf
ergm.sign: A Package for Exponential Random Graph Models for Signed Networks	ergm.sign
Edgewise shared enemies	ese-ergmTerm InitErgmTerm.ese
Edgewise shared friends	esf-ergmTerm InitErgmTerm.esf
Evaluate Log-Likelihood via Path Sampling	eval_loglik
Conduct Goodness-of-Fit Diagnostics for a Signed ERGM	gof.sign
Geometrically weighted dyadwise shared enemies distribution	gwdse-ergmTerm InitErgmTerm.gwdse
Geometrically weighted dyadwise shared friends distribution	gwdsf-ergmTerm InitErgmTerm.gwdsf
Geometrically weighted edgewise shared enemy distribution	gwese-ergmTerm InitErgmTerm.gwese
Geometrically weighted edgewise shared friend distribution	gwesf-ergmTerm InitErgmTerm.gwesf
Geometrically weighted non-edgewise shared enemey distribution	gwnse-ergmTerm InitErgmTerm.gwnse
Geometrically weighted non-edgewise shared friend distribution	gwnsf-ergmTerm InitErgmTerm.gwnsf
Delayed node matching on attribute (lag-1)	InitErgmTerm.delnodematch
Delayed reciprocity	InitErgmTerm.delrecip
Evaluation of negative edges	InitErgmTerm.Neg
Evaluation of positive edges	InitErgmTerm.Pos
Fit an ERGM with MPLE using a logistic regression model	mple_sign
Create Signed Network Object	network.sign
Combine Signed Networks into a Multi- or Dynamic-Network Object	networks.sign
Non-edgewise shared enemies	InitErgmTerm.nse nse-ergmTerm
Non-edgewise shared friends	InitErgmTerm.nsf nsf-ergmTerm
Visualization for Dynamic Signed Networks	plot.dynamic.sign
Visualization for Signed Networks	plot.static.sign
Pool Timepoints of a Dynamic Signed Network	pool.sign
Conflict Events in Syrian Civil War	rebels
Conflict Events in Syrian Civil War	rebels_pooled
Construct a Signed Network Representation for ERGM	Signed
Statnet Control	snctrl
Common Sponsor Data for Syrian Civil War Factions	sponsor
Summary formula method for dynamic signed networks	summary_formula.dynamic.sign
Network Attributes for Signed Networks	summary.dynamic.sign summary.static.sign
Read Highland Tribes	tribes
Multilayer network to single layer network.	UnLayer

Package: ergm.sign 0.1.3

ergm.sign: Exponential-Family Models for Signed Networks

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)