ernm: fits an ERNM model

In ernm: Exponential-Family Random Network Models

fits an ERNM model

Description

fits an ERNM model

Usage

ernm(
  formula,
  tapered = TRUE,
  tapering_r = 3,
  modelArgs = list(),
  nodeSamplingPercentage = 0.2,
  modelType = NULL,
  likelihoodArgs = list(),
  fullToggles = c("Compound_NodeTieDyad_Neighborhood", "DefaultVertex"),
  missingToggles = c("Compound_NodeTieDyadMissing_NeighborhoodMissing", "VertexMissing"),
  ...
)

Arguments

formula	model formula
tapered	should the model be tapered
tapering_r	the tapering parameter (tau = 1/(tapering_r^2 +5))
modelArgs	additiional arguments for the model, e.g. tapering parameters that override the defaults
nodeSamplingPercentage	how often are nodal variates toggled
modelType	either FullErnmModel or MissingErnmModel if NULL will check for missingness
likelihoodArgs	additiional arguments for the ernmLikelihood
fullToggles	a character vector of length 2 indicating the dyad and vertex toggle types for the unconditional simulations
missingToggles	a character vector of length 2 indicating the dyad and vertex toggle types for the conditional simulations
...	additional parameters for ernmFit

Value

a fitted model

ernm documentation built on April 11, 2025, 5:43 p.m.