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cNORM (version 3.5.0)

summary.cnormShaSh: Summarize a Sinh-Arcsinh Continuous Norming Model

Description

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

Usage

# S3 method for cnormShaSh
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 "cnormShaSh", typically the result of a call to cnorm.shash.

...

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 (polynomial degrees, delta parameter, number of observations)

  • Model fit statistics (log-likelihood, AIC, BIC)

  • R-squared, RMSE, and bias (if age and raw scores are provided)

  • Convergence information

  • Parameter estimates with standard errors, z-values, and p-values

See Also

cnorm.shash, diagnostics.shash

Examples

Run this code
if (FALSE) {
model <- cnorm.shash(children$age, children$score)
summary(model)

# Including R-squared, RMSE, and bias in the summary:
summary(model, age = children$age, score = children$score)
}

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