predict.cnormBetaBinomial2: Predict Norm Scores from Raw Scores

In cNORM: Continuous Norming

Predict Norm Scores from Raw Scores

Description

This function calculates norm scores based on raw scores, age, and a fitted cnormBetaBinomial2 model. See predict.cnormBetaBinomial for details.

Usage

## S3 method for class 'cnormBetaBinomial2'
predict(object, ...)

Arguments

object	A fitted model object of class 'cnormBetaBinomial' or 'cnormBetaBinomial2'.
...	Additional arguments passed to the prediction method: age A numeric vector of ages, same length as score. score A numeric vector of raw scores. range The range of the norm scores in standard deviations. Default is 3.

Value

A numeric vector of norm scores.

See Also

Other predict: derivationTable(), getNormCurve(), normTable(), predict.cnormBetaBinomial(), predict.cnormShash(), predictNorm(), predictRaw(), rawTable()

cNORM documentation built on July 13, 2026, 5:08 p.m.