predict.cnormBetaBinomial2 {cNORM} | R Documentation |
Predict Norm Scores from Raw Scores
Description
This function calculates norm scores based on raw scores, age, and a fitted cnormBetaBinomial model.
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:
|
Details
The function first predicts the alpha and beta parameters of the beta-binomial distribution for each age using the provided model. It then calculates the cumulative probability for each raw score given these parameters. Finally, it converts these probabilities to the norm scale specified in the model.
Value
A numeric vector of norm scores.
See Also
Other predict:
derivationTable()
,
getNormCurve()
,
normTable()
,
predict.cnormBetaBinomial()
,
predictNorm()
,
predictRaw()
,
rawTable()
Examples
## Not run:
# Assuming you have a fitted model named 'bb_model':
model <- cnorm.betabinomial(ppvt$age, ppvt$raw)
raw <- c(100, 121, 97, 180)
ages <- c(7, 8, 9, 10)
norm_scores <- predict(model, ages, raw)
## End(Not run)