likelihood for a fully observed ernm
fullErnmLikelihood(
theta,
sample,
theta0,
stats,
minEss = 5,
damping = 0.05,
method = c("cumulant", "sample"),
order = 3
)
a list with value, gradient, and hessian
parameters
mcmc sample
parameter values which generated sample
observed statistics
minimum effective sample size
a damping parameter
cumulant generating function approximation
the ordering