% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ctEmpiricalBayesFit.R
\name{summary.ctEmpiricalBayesFit}
\alias{summary.ctEmpiricalBayesFit}
\title{Summarise empirical Bayes subject-wise ctsem fits}
\usage{
\method{summary}{ctEmpiricalBayesFit}(
  object,
  use = c("rawest", "rawposterior"),
  probs = c(0.025, 0.5, 0.975),
  sdscale = c("unit", "rawsd"),
  minsd = 1e-06,
  digits = 4,
  ...
)
}
\arguments{
\item{object}{Object returned by \code{\link{ctEmpiricalBayesFit}}.}

\item{use}{\code{'rawest'} to summarise final-pass subject point estimates,
or \code{'rawposterior'} to pool final-pass subject raw posterior samples.}

\item{probs}{Quantiles to report for transformed parameters.}

\item{sdscale}{How to set \code{model$pars$sdscale} when reconstructing the
adjusted single-subject empirical Bayes model from the final empirical
raw distribution. \code{'unit'} keeps any later random-effect SDs on the
EB-standardised raw scale. \code{'rawsd'} uses the final empirical raw
SDs directly. Retained for compatibility; \code{summary()} no longer returns
a reconstructed model.}

\item{minsd}{Lower bound used for empirical raw SDs before model adjustment.}

\item{digits}{Number of digits for printed summary tables.}

\item{...}{Unused.}
}
\value{
Compact list containing fit settings, transformed-parameter
summaries, outlier diagnostics, and transformed-parameter covariance /
correlation matrices. The subject
fit lists, raw estimate matrices, pass maps, and adjusted model remain on
the original \code{ctEmpiricalBayesFit} object.
}
\description{
Summarise empirical Bayes subject-wise ctsem fits
}
