kmassessbayesian: Update probability distribution applying Bayesian update

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

Update probability distribution applying Bayesian update

Description

kmassessbayesian updates a probability distribution over a knowledge structure according to the Bayesian update rule.

Usage

kmassessbayesian(probs, ks, beta, eta, question, response)

Arguments

probs	Probability distribution over the knowledge structure (vector)
ks	Binary matrix of the knowledge structure
beta	Vector of careless error probabilities
eta	Vector of lucky guess probabilities
question	Item that has been posed
response	Correctness of received response (0 or 1)

Value

Updated probability vector

See Also

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

Examples

kmassessbayesian(c(0.02, 0.1, 0.07, 0.01, 0.4, 0.17, 0.07, 0.08, 0.08),
                 xpl$space,
                 rep(0.2,4),
                 rep(0.1,4),
                 3,
                 1
                )

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