election.2008

Results of recent state polls in the 2008 United States Presidential
Election between Barack Obama and John McCain.

datasets

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference.  It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions.  It contains MCMC algorithms for summarizing posterior distributions defined by the user.  It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

Jim Albert

LearnBayes

Functions for Learning Bayesian Inference

election.2008 function

A data frame with 51 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt>State</dt><dd>name of the state</dd>
 <dt>M.pct</dt><dd>percentage of poll survey for McCain</dd>
 <dt>O.pct</dt><dd>precentage of poll survey for Obama</dd>
 <dt>EV</dt><dd>number of electoral votes</dd>
 </dl>

Format

Poll data from 2008 U.S. Presidential Election — election.2008

A data frame with 51 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt>State</dt><dd>name of the state</dd>
 <dt>M.pct</dt><dd>percentage of poll survey for McCain</dd>
 <dt>O.pct</dt><dd>precentage of poll survey for Obama</dd>
 <dt>EV</dt><dd>number of electoral votes</dd>
 </dl>

election.2008: Poll data from 2008 U.S. Presidential Election

Description

Usage

Arguments

Format