Description Usage Arguments Details Value Author(s) See Also Examples

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

1 2 |

`object` |
Object of class |

`cutpoint` |
Either single integer value between 0 and 1 or |

`...` |
Additional arguments ignored |

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.

Returns data matrix based on model probabilities

Patrick Mair, Reinhold Hatzinger

1 2 3 4 | ```
#Model-based data matrix for RSM
res <- RM(raschdat2)
pres <- person.parameter(res)
predict(pres)
``` |

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