cancermortality

Number of cancer deaths and number at risk for 20 cities in Missouri.

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

cancermortality function

A data frame with 20 observations on the following 2 variables.<dl class="dl-horizontal">
 <dt>y</dt><dd>number of cancer deaths</dd>
 <dt>n</dt><dd>number at risk</dd>
 </dl>

Format

Cancer mortality data — cancermortality

A data frame with 20 observations on the following 2 variables.<dl class='dl-horizontal'>
 <dt>y</dt><dd>number of cancer deaths</dd>
 <dt>n</dt><dd>number at risk</dd>
 </dl>

cancermortality: Cancer mortality data

Description

Usage

Arguments

Format