Bayesian Analysis of Item Response Theory Models


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Documentation for package ‘bairt’ version 0.1.2

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burning.mcmc Burning of MCMC objects
chain.study Convergence graphs for the simulated values
chain.study.bairt Convergence graphs for the simulated values
chain.study.default Convergence graphs for the simulated values
check.plot Plot of the discrimination marginal posterior means against difficulty marginal posterior means
check.plot.default Plot of the discrimination marginal posterior means against difficulty marginal posterior means
check.plot.mcmc.2pnob Plot of the discrimination marginal posterior means against difficulty marginal posterior means
check.plot.mcmc.3pnob Plot of the discrimination marginal posterior means against difficulty marginal posterior means
continue.mcmc Continue MCMC for the Estimation of the Two-Parameter or Three-Parameter Normal Ogive Model
continue.mcmc.bairt Continue MCMC for the Estimation of the Two-Parameter or Three-Parameter Normal Ogive Model
continue.mcmc.default Continue MCMC for the Estimation of the Two-Parameter or Three-Parameter Normal Ogive Model
data.mcmc MCMC object data
diagnostic.mcmc Diagnostic of _mcmc.2pnob_ or _mcmc.3pnob_ object
final.values.mcmc Values of the last iteration for each chain
irc Plot of posterior density of the item response curve
irc.bairt Plot of posterior density of the item response curve
irc.default Plot of posterior density of the item response curve
iter.mcmc Number of Iterations for an MCMC object.
MathTest Data from an math test applied at USB in 2012.
mcmc.2pnob MCMC Estimation of the Two-Parameter Normal Ogive Model
mcmc.3pnob MCMC Estimation of the Three-Parameter Normal Ogive Model
model.mcmc MCMC object model
object.coda Creating an mcmc.list for coda package
object.coda.bairt Creating an mcmc.list for coda package
object.coda.default Creating an mcmc.list for coda package
parameter.plot Graph of marginal posterior densities
parameter.plot.bairt Graph of marginal posterior densities
parameter.plot.default Graph of marginal posterior densities
parts.mcmc Number of splits for MCMC chain
sabirt Shiny App for Bayesian Item Response Theory (SABIRT)
select.c.prior Select the c prior for the Three-Parameter Normal Ogive Model
thin Thinning interval