Author: Gopal, V. and Fuentes, C. and Casella, G.
Packaged: Tue Feb  3 04:26:57 2009; viknesh

Packaged: Sun Mar  1 10:42:37 2009; viknesh

Description: Tools for Bayesian copula generalized linear models (GLMs).
The sampling scheme is based on Pitt, Chan, and Kohn (2006) <doi:10.1093/biomet/93.3.537>.
Regression parameters (including coefficients and dispersion parameters) are
estimated via the adaptive random walk Metropolis approach developed by
The prior for the correlation matrix is based on Hoff (2007) <doi:10.1214/07-AOAS107>.

Authors@R: c(person("Ethan", "Alt", role = c("aut", "cre"),
person("Yash", "Bhosale", role = "aut", email = "bhosaley5@gmail.com")

LinkingTo: Rcpp, RcppArmadillo, RcppDist, mvtnorm

Title: Bayesian analysis of count distributions with JAGS
Author: Matthew Denwood <m.denwood.1@research.gla.ac.uk>, funded as part of the DEFRA VTRI project 0101.
Description: A set of functions to apply a zero-inflated gamma Poisson (equivalent to a zero-inflated negative binomial), zero-inflated Poisson, gamma Poisson (negative binomial) or Poisson model to a set of count data using JAGS (Just Another Gibbs Sampler).  Returns information on the possible values for mean count, overdispersion and zero inflation present in count data such as faecal egg count data.  Checks for convergence using the Gelman-Rubin statistic.  Just Another Gibbs Sampler (JAGS) must be installed.  *THIS SOFTWARE IS INTENDED FOR EDUCATIONAL PURPOSES ONLY AND SHOULD NOT BE RELIED UPON FOR REAL WORLD APPLICATIONS*
Packaged: Mon Aug 27 15:25:17 2007; matthew

Author: Matthew Denwood <m.denwood@vet.gla.ac.uk> funded as part of the DEFRA VTRI project 0101.
Description: A set of functions to apply a (zero-inflated) gamma Poisson (equivalent to a negative binomial), (zero-inflated) simple or independant Poisson, (zero-inflated) lognormal Poisson or (zero-inflated) Weibull Poisson model to a set of count data using JAGS (Just Another Gibbs Sampler).  Returns information on the possible values for mean count, variance and zero inflation present in count data such as faecal egg count data.  Checks for convergence using the Gelman-Rubin statistic.  Likelihoods for the above distributions can also be calculated, and a crude maximum likelihood function is included.  Also allows any user specified model to be run in JAGS from within R, returning the MCMC output as R objects.  Just Another Gibbs Sampler (JAGS) must be installed.  *THIS SOFTWARE IS INTENDED FOR EDUCATIONAL PURPOSES ONLY AND SHOULD NOT BE RELIED UPON FOR REAL WORLD APPLICATIONS*
Packaged: Thu Jan 10 18:51:25 2008; hornik