TNTFixL-ergmProposal

InitErgmProposal.TNTFixL

<p>Stratifies the population of dyads
  edge status: those having ties and those having no ties (hence T/NT).
  This is useful for improving performance in sparse networks,
  because it gives at least 50% chance of proposing a toggle of an existing edge.</p>

internal

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>.

Marc Schalberger

ergm.sign

Exponential-Family Models for Signed Networks

Cornelius Fritz

Pavel Krivitsky

TNTFixL-ergmProposal function

Default MH algorithm respecting the layer constraint — TNTFixL-ergmProposal

Default MH algorithm respecting the layer constraint

TNTFixL-ergmProposal: Default MH algorithm respecting the layer constraint

Description

Arguments

Details