summary.cnormBetaBinomial2: 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 cnormBetaBinomial2
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 raw, 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$age, raw = ppvt$raw)
}