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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hrg.R
\name{hrg.fit}
\alias{hrg.fit}
\title{Fit a hierarchical random graph model}
\usage{
hrg.fit(graph, hrg = NULL, start = FALSE, steps = 0)
}
\arguments{
\item{graph}{The graph to fit the model to. Edge directions are ignored in
directed graphs.}
\item{hrg}{A hierarchical random graph model, in the form of an
\code{igraphHRG} object. \code{fit_hrg()} allows this to be \code{NULL}, in
which case a random starting point is used for the fitting.}
\item{start}{Logical, whether to start the fitting/sampling from the
supplied \code{igraphHRG} object, or from a random starting point.}
\item{steps}{The number of MCMC steps to make. If this is zero, then the
MCMC procedure is performed until convergence.}
}
\description{
\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}}
\code{hrg.fit()} was renamed to \code{fit_hrg()} to create a more
consistent API.
}
\keyword{internal}
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