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kmassessmentsimulation does a probabilistic knowledge assessment for each response pattern in a data matrix and stores information about the assessment.
kmassessmentsimulation
kmassessmentsimulation( respdata, ks, questioning, update, beta, eta, zeta0, zeta1, threshold )
Assessment data as data frame
Data matrix
Knowledge structure
Question rule
Updating rule
Careless error probability
Lucky guess probability
Update parameter for wrong responses
Update parameter for correct responses
Stopping criterion
kmassessmentsimulation applies the kmsassess function.
kmsassess
Other Knowledge assessment: kmassess(), kmassessbayesian(), kmassesshalfsplit(), kmassessinformative(), kmassessmultiplicative()
kmassess()
kmassessbayesian()
kmassesshalfsplit()
kmassessinformative()
kmassessmultiplicative()
kmassessmentsimulation( xpl$data, xpl$space, "halfsplit", "multiplicative", NULL, NULL, 5, 5, 0.55 )
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