ernm (version 1.0.0)

ernm: 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"),
  ...
)

Value

a fitted model

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