kmassessmentsimulation: Simulate assessments for a set of response patterns

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

Simulate assessments for a set of response patterns

Description

kmassessmentsimulation does a probabilistic knowledge assessment for each response pattern in a data matrix and stores information about the assessment.

Usage

kmassessmentsimulation(
  respdata,
  ks,
  questioning,
  update,
  beta,
  eta,
  zeta0,
  zeta1,
  threshold
)

Arguments

respdata	Data matrix
ks	Knowledge structure
questioning	Question rule
update	Updating rule
beta	Careless error probability
eta	Lucky guess probability
zeta0	Update parameter for wrong responses
zeta1	Update parameter for correct responses
threshold	Stopping criterion

Details

kmassessmentsimulation applies the kmsassess function.

Value

Assessment data as data frame

See Also

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

Examples

kmassessmentsimulation(
  xpl$data,
  xpl$space,
  "halfsplit",
  "multiplicative",
  NULL,
  NULL,
  5,
  5,
  0.55
)

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