@article{JSSv042i09,
title={MCMCpack: Markov Chain Monte Carlo in R},
volume={42},
url={https://www.jstatsoft.org/index.php/jss/article/view/v042i09},
doi={10.18637/jss.v042.i09},
abstract={We introduce <b>MCMCpack</b>, an R package that contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. In addition to code that can be used to fit commonly used models, <b>MCMCpack</b> 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.},
number={9},
journal={Journal of Statistical Software},
author={Martin, Andrew D. and Quinn, Kevin M. and Park, Jong Hee},
year={2011},
pages={1–21}
}