Returns data matrix based on model probabilites. So far implemented for dichotomous models only.
Object of class
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
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#Model-based data matrix for RSM res <- RM(raschdat2) pres <- person.parameter(res) predict(pres)
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