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r-mcmcpack

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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. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.

Installation

To install this package, run one of the following:

Conda
$conda install f30a78ec8::r-mcmcpack

Usage Tracking

1.4_4
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Downloads (Last 6 months): 0

About

Summary

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. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.

Last Updated

Dec 29, 2019 at 18:54

License

GPL-3

Total Downloads

15

Supported Platforms

linux-64