chain.study.default: Convergence graphs for the simulated values
In bairt: Bayesian Analysis of Item Response Theory Models

Description Usage Arguments Details Value Author(s) References See Also

Convergence graphs for the study of the simulated values for an MCMC marginal chain.

1 2	## Default S3 method: chain.study(mcmclist, ...)

`mcmclist`	A mcmc.2pnob or mcmc.3pnob class object.
`...`	Further arguments.

The top left graph displays the sequence of simulated values and the top right graph displays the lagged correlations of the sequence as a function of the lag value. The bottom left graph is an histogram of the simulated values and the bottom right graph is the box plot of the simulated values.

Convergence graphs for the study of the simulated values for an MCMC marginal chain.

Javier Mart<c3><ad>nez

Johnson, V. E. & Albert, J. H. (1999). Ordinal Data Modeling. New York: Springer.

mcmc.2pnob, mcmc.3pnob and continue.mcmc.

bairt documentation built on May 1, 2019, 10:56 p.m.