kmassessinformative: Determine next question for probabilistic knowledge...

In kstMatrix: Basic Functions in Knowledge Space Theory Using Matrix Representation

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)

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

Value

Number of the selected question

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
                 )

kstMatrix documentation built on Dec. 18, 2025, 5:07 p.m.