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 |