% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/api-person-fit.R
\name{summary.mfrm_person_fit_indices}
\alias{summary.mfrm_person_fit_indices}
\title{Summarize person-fit indices}
\usage{
\method{summary}{mfrm_person_fit_indices}(object, digits = 3, top_n = 10, ...)
}
\arguments{
\item{object}{Output from \code{\link[=compute_person_fit_indices]{compute_person_fit_indices()}}.}

\item{digits}{Number of digits used when printing numeric columns.}

\item{top_n}{Number of review rows retained in \code{top_review}.}

\item{...}{Unused.}
}
\value{
An object of class \code{summary.mfrm_person_fit_indices} with:
\itemize{
\item \code{overview}
\item \code{status_summary}
\item \code{report_index_summary}
\item \code{lz_star_status_summary}
\item \code{top_review}
\item \code{caveats}
\item \code{thresholds}
\item \code{reporting_map}
\item \code{notes}
}
}
\description{
\code{summary()} for \code{\link[=compute_person_fit_indices]{compute_person_fit_indices()}} output gives a compact,
report-ready reading order: first the number of persons and flags, then
status counts, then the highest-priority review rows. The summary keeps
\code{lz_star} availability visible so users do not silently treat uncorrected
\code{lz} as Snijders-corrected output.
}
