summary.cnormBetaBinomial: Summarize a Beta-Binomial Continuous Norming Model
Description
This function provides a summary of a fitted beta-binomial continuous
norming model, including model fit statistics, convergence information,
and parameter estimates.
Usage
# S3 method for cnormBetaBinomial
summary(object, ...)
Value
Invisibly returns a list containing detailed diagnostic
information about the model. The function primarily produces printed
output summarizing the model.
Arguments
object
An object of class "cnormBetaBinomial" or
"cnormBetaBinomial2", typically the result of a call to
cnorm.betabinomial.
...
Additional arguments passed to the summary method:
age An optional numeric vector of age values corresponding to
the raw scores. If provided along with score, additional fit
statistics (R-squared, RMSE, bias) will be calculated.
score An optional numeric vector of raw scores. Must be
provided if age is given.
weights An optional numeric vector of weights for each
observation.
Details
The summary includes:
Basic model information (type, number of observations, number of parameters)
Model fit statistics (log-likelihood, AIC, BIC)
R-squared, RMSE, and bias (if age and raw scores are provided)
in comparison to manifest norm scores
Convergence information
Parameter estimates with standard errors, z-values, and p-values
if (FALSE) {
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)
}