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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ergm.sign" in publications use:'
type: software
license: MIT
title: 'ergm.sign: Exponential-Family Models for Signed Networks'
version: 0.1.2
doi: 10.32614/CRAN.package.ergm.sign
abstract: 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) <https://doi.org/10.1007/s11336-020-09720-7> and Fritz, C., Mehrl,
  M., Thurner, P. W., & Kauermann, G. (2025) <https://doi.org/10.1017/pan.2024.21>.
authors:
- family-names: Schalberger
  given-names: Marc
  email: m.schalberger@fu-berlin.de
- family-names: Fritz
  given-names: Cornelius
  email: FRITZC@tcd.ie
repository: https://mschalberger.r-universe.dev
commit: 7c31870d1fae98f8d77c067aa799c3b49c2339d4
date-released: '2026-06-01'
contact:
- family-names: Schalberger
  given-names: Marc
  email: m.schalberger@fu-berlin.de