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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 conda-forge::r-mcmcpack

Usage Tracking

1.7_1
1.7_0
1.6_3
1.6_2
1.6_1
1.5_0
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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

Jan 20, 2021 at 14:22

License

GPL-3.0-only

Total Downloads

211.8K

Supported Platforms

linux-64
macOS-64
win-64

Unsupported Platforms

macOS-arm64 Last supported version: 1.7_1
linux-aarch64 Last supported version: 1.7_1
linux-ppc64le Last supported version: 1.7_1