Senate

<p>This dataframe contains a matrix of votes cast by U.S. Senators in the 106th
Congress.</p>

datasets

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.

Jong Hee Park

MCMCpack

Markov Chain Monte Carlo (MCMC) Package

Senate function

<p>The dataframe contains roll call data for all Senators in the 106th
Senate.  The first column (id) is the ICPSR member ID number, the second
column (statecode) is the ICPSR state code, the third column (party) is the
member's state name, and the fourth column (member) is the member's name.
This is followed by all roll call votes (including unanimous ones) in the
106th.  Nay votes are coded 0, yea votes are coded 1, and NAs are missing
votes.</p>

Senate: 106th U.S. Senate Roll Call Vote Matrix

Description

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