% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/betaBinomial.R
\name{summary.cnormBetaBinomial}
\alias{summary.cnormBetaBinomial}
\title{Summarize a Beta-Binomial Continuous Norming Model}
\usage{
\method{summary}{cnormBetaBinomial}(object, ...)
}
\arguments{
\item{object}{An object of class "cnormBetaBinomial" or
"cnormBetaBinomial2", typically the result of a call to
\code{\link{cnorm.betabinomial}}.}

\item{...}{Additional arguments passed to the summary method:
\itemize{
   \item age An optional numeric vector of age values corresponding to
     the raw scores. If provided along with \code{score}, additional fit
     statistics (R-squared, RMSE, bias) will be calculated.
   \item score An optional numeric vector of raw scores. Must be
     provided if \code{age} is given.
   \item weights An optional numeric vector of weights for each
     observation.
 }}
}
\value{
Invisibly returns a list containing detailed diagnostic
  information about the model. The function primarily produces printed
  output summarizing the model.
}
\description{
This function provides a summary of a fitted beta-binomial continuous
norming model, including model fit statistics, convergence information,
and parameter estimates.
}
\details{
The summary includes:
\itemize{
  \item Basic model information (type, number of observations, number of parameters)
  \item Model fit statistics (log-likelihood, AIC, BIC)
  \item R-squared, RMSE, and bias (if age and raw scores are provided)
        in comparison to manifest norm scores
  \item Convergence information, including the maximum absolute gradient
        at the solution (first-order optimality)
  \item Parameter estimates with standard errors, z-values, and p-values
}
}
\examples{
\dontrun{
model <- cnorm.betabinomial(ppvt$age, ppvt$raw, n = 228)
summary(model)

# Including R-squared, RMSE, and bias in the summary:
summary(model, age = ppvt$age, score = ppvt$raw)
}
}
\seealso{
\code{\link{cnorm.betabinomial}}, \code{\link{diagnostics.betabinomial}}
}
