Andrew D. Martin <admartin@artsci.wustl.edu>, and
Kevin M. Quinn <kquinn@latte.harvard.edu>
This package contains functions for posterior
simulation for a number of statistical models. All simulation
is done in compiled C++ written in the Scythe Statistical
Library Version 0.4. All models return coda mcmc objects that
can then be summarized using coda functions or the coda menu
interface.  The package also contains some useful utility
functions, including some additional PDFs and pseudo-random
number generators for statistical distributions.

Andrew D. Martin <admartin@wustl.edu>, and
Kevin M. Quinn <kquinn@latte.harvard.edu>

Andrew D. Martin <admartin@wustl.edu>, and
Kevin M. Quinn <kevin_quinn@harvard.edu>
This package contains functions for posterior
simulation for a number of statistical models. All simulation
is done in compiled C++ written in the Scythe Statistical
Library Version 1.0. All models return coda mcmc objects that
can then be summarized using the coda package.  MCMCpack
also contains some useful utility functions, including some
additional density functions and pseudo-random number generators
for statistical distributions, a general purpose Metropolis
sampling algorithm, and tools for visualization.
The software RngStream included in this package is subject to
the copyright of Pierre L'Ecuyer, University of Montreal, and
can be freely used only for personnal, academic, or
non-commercial purposes.

This package contains functions to perform Bayesian
inference using posterior simulation for a number of statistical
models. All simulation is done in compiled C++ written in the Scythe
Statistical Library Version 1.0. All models return coda mcmc objects
that can then be summarized using the coda package.  MCMCpack
also contains some useful utility functions, including some
additional density functions and pseudo-random number generators
for statistical distributions, a general purpose Metropolis
sampling algorithm, and tools for visualization.

This package contains functions to perform Bayesian
inference using posterior simulation for a number of statistical
models. Most simulation is done in compiled C++ written in the Scythe
Statistical Library Version 1.0. All models return coda mcmc objects
that can then be summarized using the coda package.  MCMCpack
also contains some useful utility functions, including some
additional density functions and pseudo-random number generators
for statistical distributions, a general purpose Metropolis
sampling algorithm, and tools for visualization.