Description Usage Arguments Details Value Author(s) References See Also
Marginal Posterior means of b_j plotted against the marginal posterior means of a_j. Each point is labeled with the number of the corresponding Item.
For the Three-Parameter Normal Ogive Item Response Model (3pno), the size of the numbers refers to the marginal posterior means of c_j.
The Potential Scale Reduction Factor (Rhat) is calculated for each chain, bairt generates a single MCMC and evaluates convergence by breaking the chain in three sub chains and comparing the between- and within-subchain variance.
The black color suggests convergence and red items indicate convergence problems (Rhat greater than 1.1).
1 | check.plot(mcmclist, ...)
|
mcmclist |
A mcmc.2pnob or mcmc.3pnob class object. |
... |
Further arguments. |
If converg.test = TRUE the items with Rhat menor that 1.1 are print in red color. It is useful for quick check of the convergence.
A plot of the discrimination marginal posterior means against difficulty marginal posterior means. For the Three-parameter model the guessing marginal posterior means are represented by the number size of the item.
Javier Mart<c3><ad>nez
Johnson, V. E. & Albert, J. H. (1999). Ordinal Data Modeling. New York: Springer.
Gelman, A., Carlin, J. B., Stern, H. S. & Rubin, B. (2004). Bayesian Data Analysis.New York: Chapman & Hall/CRC.
mcmc.2pnob
, mcmc.3pnob
and
continue.mcmc.bairt
.
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