Package: mcgibbsit Title: Warnes and Raftery's MCGibbsit MCMC diagnostic Version: 1.0 Author: Gregory R. Warnes <[EMAIL PROTECTED]> Description: mcgibbsit provides an implementation of Warnes & Raftery's MCGibbsit run-length diagnostic for a set of (not-necessarily independent) MCMC sampers. It combines the estimate error-bounding approach of Raftery and Lewis with evaulate between verses within chain approach of Gelman and Rubin. Maintainer: Gregory R. Warnes <[EMAIL PROTECTED]> License: GPL Depends: coda
References: Warnes GR. The Normal Kernel Coupler: An adaptive Markov Chain Monte Carlo method for efficiently sampling from multi-modal distributions <http://www.analytics.washington.edu/statcomp/projects/mcmc/nkc/>, Ph.D. thesis, Department of Biostatistics, University of Washington, <http://www.biostat.washington.edu/> October 2000. (See Chapter 3, "Using the Normal Kernel Coupler") Gregory R. Warnes Manager, Non-Clinical Statistics Pfizer Global Research and Development Tel: 860-715-3536 LEGAL NOTICE\ Unless expressly stated otherwise, this messag...{{dropped}} _______________________________________________ R-packages mailing list [EMAIL PROTECTED] https://www.stat.math.ethz.ch/mailman/listinfo/r-packages ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
