summary.cnormBetaBinomial2: Summarize a Beta-Binomial Continuous Norming Model

In cNORM: Continuous Norming

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 class 'cnormBetaBinomial2'
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.

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

Value

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

See Also

cnorm.betabinomial, diagnostics.betabinomial

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$age, raw = ppvt$raw)

## End(Not run)

cNORM documentation built on Nov. 4, 2024, 5:07 p.m.