kstMatrix (version 2.2-1)

kmassessinformative: Determine next question for probabilistic knowledge assessment

Description

kmassessinfmrative determines the next question in a probabiliststic assessment according to the informative rule.

Usage

kmassessinformative(probs, ks, update, beta, eta, zeta0, zeta1)

Value

Number of the selected question

Arguments

probs

Probability distribution over the knowledge structure (vector)

ks

Binary matrix of the knowledge structure

update

Update rule ("Bayesian" or "multiplicative")

beta

Careless error probabilities (vector)

eta

Lucky guess probabilities (vector)

zeta0

Vector of update parameters for wrong responses

zeta1

Vector of update parameters for correct responses

See Also

Other Knowledge assessment: kmassess(), kmassessbayesian(), kmassesshalfsplit(), kmassessmentsimulation(), kmassessmultiplicative()

Examples

kmassessinformative(c(0.02, 0.1, 0.07, 0.01, 0.4, 0.17, 0.07, 0.08, 0.08),
                  xpl$space,
                  "Bayesian",
                  rep(0.3,4),
                  rep(0.2,4),
                  NULL,
                  NULL
                 )