fullErnmLikelihood: likelihood for a fully observed ernm

In ernm: Exponential-Family Random Network Models

likelihood for a fully observed ernm

Description

likelihood for a fully observed ernm

Usage

fullErnmLikelihood(
  theta,
  sample,
  theta0,
  stats,
  minEss = 5,
  damping = 0.05,
  method = c("cumulant", "sample"),
  order = 3
)

Arguments

theta	parameters
sample	mcmc sample
theta0	parameter values which generated sample
stats	observed statistics
minEss	minimum effective sample size
damping	a damping parameter
method	cumulant generating function approximation
order	the ordering

Value

a list with value, gradient, and hessian

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