boa.geweke: Geweke Convergence Diagnostics

In boa: Bayesian Output Analysis Program (BOA) for MCMC

Description

Computes the Geweke convergence diagnostics for the parameters in an MCMC sequence.

Usage

boa.geweke(link, p.first, p.last)

Arguments

link	Matrix whose columns and rows contain the monitored parameters and the MCMC iterations, respectively. The iteration numbers and parameter names must be assigned to dimnames(link).
p.first	Proportion of iterations to include in the first window.
p.last	Proportion of iterations to include in the last window.

Value

A matrix whose columns contain the Z-Scores and associated p-values and whose rows contain the monitored parameters.

Author(s)

Brian J. Smith

References

Geweke, J. (1992). Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In Bayesian Statistics 4, (ed. J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith). Clarendon Press, Oxford, UK.

See Also

boa.plot, boa.plot.geweke, boa.print.geweke

boa documentation built on May 1, 2019, 9:12 p.m.