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MCMCpack (version 0.3-11)

Markov chain Monte Carlo (MCMC) Package

Description

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 0.3. 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.

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Version

Install

install.packages('MCMCpack')

Monthly Downloads

22,660

Version

0.3-11

License

GPL version 2 or newer

Homepage

http://www.r-project.org

Maintainer

Andrew Martin

Last Published

August 27th, 2024

Functions in MCMCpack (0.3-11)

U.S. Supreme Court Vote Matrix

Markov chain Monte Carlo for Gaussian Linear Regression

Markov chain Monte Carlo for Probit Regression

Convert Markov Chain Monte Carlo Objects to Dataframes

Generate Random Draw from inverse Wishart Distribution

Tomography Plot

Markov chain Monte Carlo for Poisson Regression

Markov chain Monte Carlo for Wakefield's Baseline Ecological Inference Model

Markov chain Monte Carlo for Ordered Probit Regression

Markov chain Monte Carlo for Logistic Regression

Markov Chain Monte Carlo Objects

Markov chain Monte Carlo for Quinn's Dynamic Ecological Inference Model

Markov chain Monte Carlo for Wakefield's Hierarchial Ecological Inference Model

Evaluate the PDF of the Wishart Distribution

Markov chain Monte Carlo for the General Linear Panel Model

Write a Matrix to a File to be Read by Scythe

Generate Random Draw from Wishart Distribution

Markov chain Monte Carlo for One Dimensional Item Response Theory Model

Dynamic Tomography Plot

Evaluate the PDF of the inverse Wishart Distribution