CMD + K

r-mcmcpack

Community

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 1.0.3. 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.

Installation

To install this package, run one of the following:

Conda
$conda install mittner::r-mcmcpack

Usage Tracking

1.3_3
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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 1.0.3. 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.

Last Updated

Apr 29, 2016 at 08:30

License

GPL-3

Total Downloads

153

Supported Platforms

linux-64
win-32
macOS-64
linux-32
win-64