Title: Mixtures of Contaminated Gaussian Factor Analyzers
Authors@R: c(person("Martin", "Blostein", role = c("aut", "cre"), email="martin.blostein@gmail.com"),
person("Antonio", "Punzo", role = "ctb"),
person(c("Paul", "D."), "McNicholas", role = c("ctb","ths")))
Description: Performs clustering and classification using the Mixtures of Contaminated Gaussian Factor Analyzers model. Allows for automatic detection of outliers and noise.

person("Antonio", "Punzo", role = "aut"),
person(c("Paul", "D."), "McNicholas", role = c("aut","ths")))
Description: Clustering and classification using the Mixtures of Contaminated Gaussian Factor Analyzers model. Allows for automatic detection of outliers and noise. Punzo, A, Blostein, M, McNicholas, PD (2017) <arXiv:1408.2128v2>.

Package: mcgibbsit
Title: Warnes and Raftery's MCGibbsit MCMC diagnostic
Version: 1.0.1
Author: Gregory R. Warnes <gregory_r_warnes@groton.pfizer.com>
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 <gregory_r_warnes@groton.pfizer.com>
License: GPL
Depends: coda
Packaged: Tue Aug  3 10:51:59 2004; warneg

Package: mcgibbsit
Title: Warnes and Raftery's MCGibbsit MCMC diagnostic
Version: 1.0.2
Author: Gregory R. Warnes <gregory_r_warnes@groton.pfizer.com>
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 <gregory_r_warnes@groton.pfizer.com>
License: GPL
Depends: coda
Packaged: Wed Dec  8 15:14:29 2004; warneg

Package: mcgibbsit
Title: Warnes and Raftery's MCGibbsit MCMC diagnostic
Version: 1.0.3
Date: 2005-03-12
Author: Gregory R. Warnes <Gregory.R.Warnes@Pfizer.com>
Depends: coda
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 <Gregory.R.Warnes@Pfizer.com>
License: GPL
Packaged: Sat Mar 12 21:07:44 2005; warneg