summary.cnormBetaBinomial function

Summarize a Beta-Binomial Continuous Norming Model

This function provides a summary of a fitted beta-binomial continuous norming model, including model fit statistics, convergence information, and parameter estimates.

## S3 method for class 'cnormBetaBinomial'
summary(object, ...)

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.

Returns

Invisibly returns a list containing detailed diagnostic information about the model. The function primarily produces printed output summarizing the model.

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

Examples

## Not run:

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)
## End(Not run)

See Also

cnorm.betabinomial, diagnostics.betabinomial