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bairt (version 0.1.2)

Bayesian Analysis of Item Response Theory Models

Description

Bayesian estimation of the two and three parameter models of item response theory (IRT). Also, it is possible to use a web interactive application intended for the making of an MCMC estimation and model-fit of the IRT models.

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Version

Install

install.packages('bairt')

Monthly Downloads

2

Version

0.1.2

License

GPL (>= 2)

Maintainer

Javier Martinez

Last Published

March 27th, 2018

Functions in bairt (0.1.2)

chain.study

Convergence graphs for the simulated values
burning.mcmc

Burning of MCMC objects
check.plot

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
MathTest

Data from an math test applied at USB in 2012.
data.mcmc

MCMC object data
chain.study.bairt

Convergence graphs for the simulated values
continue.mcmc

Continue MCMC for the Estimation of the Two-Parameter or Three-Parameter Normal Ogive Model
diagnostic.mcmc

Diagnostic of mcmc.2pnob or mcmc.3pnob object
check.plot.default

Plot of the discrimination marginal posterior means against difficulty marginal posterior means
iter.mcmc

Number of Iterations for an MCMC object.
chain.study.default

Convergence graphs for the simulated values
sabirt

Shiny App for Bayesian Item Response Theory (SABIRT)
check.plot.mcmc.2pnob

Plot of the discrimination marginal posterior means against difficulty marginal posterior means
final.values.mcmc

Values of the last iteration for each chain
irc

Plot of posterior density of the item response curve
parameter.plot

Graph of marginal posterior densities
continue.mcmc.default

Continue MCMC for the Estimation of the Two-Parameter or Three-Parameter Normal Ogive Model
parameter.plot.bairt

Graph of marginal posterior densities
mcmc.2pnob

MCMC Estimation of the Two-Parameter Normal Ogive Model
irc.bairt

Plot of posterior density of the item response curve
object.coda

Creating an mcmc.list for coda package
object.coda.default

Creating an mcmc.list for coda package
parameter.plot.default

Graph of marginal posterior densities
object.coda.bairt

Creating an mcmc.list for coda package
irc.default

Plot of posterior density of the item response curve
mcmc.3pnob

MCMC Estimation of the Three-Parameter Normal Ogive Model
select.c.prior

Select the c prior for the Three-Parameter Normal Ogive Model
continue.mcmc.bairt

Continue MCMC for the Estimation of the Two-Parameter or Three-Parameter Normal Ogive Model
model.mcmc

MCMC object model
thin

Thinning interval
parts.mcmc

Number of splits for MCMC chain