ernmFit: fit an ernm model

In ernm: Exponential-Family Random Network Models

fit an ernm model

Description

fit an ernm model

Usage

ernmFit(
  sampler,
  theta0,
  mcmcBurnIn = 10000,
  mcmcInterval = 100,
  mcmcSampleSize = 10000,
  minIter = 3,
  maxIter = 40,
  objectiveTolerance = 0.5,
  gradTolerance = 0.25,
  meanStats,
  verbose = 1,
  method = c("bounded", "newton")
)

Arguments

sampler	the ErnmModel
theta0	initial starting values
mcmcBurnIn	burn in
mcmcInterval	interval
mcmcSampleSize	sample size
minIter	minimum number of iterations
maxIter	maximum number of iterations
objectiveTolerance	convergance criteria on change in log likelihood ratio
gradTolerance	convergance criteria on scaled gradient
meanStats	if non-missing, these are the target statistics
verbose	level of verbosity 0, 1, or 2
method	the optimization method to use

Value

ernm object

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