summary.cnormBetaBinomial2 {cNORM}R Documentation

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:

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)

[Package cNORM version 3.3.0 Index]