predict.ppar {eRm} R Documentation

## Predict methods

### Description

Returns data matrix based on model probabilites. So far implemented for dichotomous models only.

### Usage

## S3 method for class 'ppar'
predict(object, cutpoint = "randomized", ...)


### Arguments

 object Object of class ppar (from person.parameter()). cutpoint Either single integer value between 0 and 1 or "randomized" for randomized 0-1 assignment (see details) ... Additional arguments ignored

### Details

A randomized assignment implies that for each cell an additional random number is drawn. If the model probability is larger than this value, the person gets 1 on this particular item, if smaller, 0 is assigned. Alternatively, a numeric probability cutpoint can be assigned and the 0-1 scoring is carried out according to the same rule.

### Value

Returns data matrix based on model probabilities

### Author(s)

Patrick Mair, Reinhold Hatzinger

gofIRT.ppar
#Model-based data matrix for RSM