soccergoals

Number of goals scored by a single professional soccer team
during the 2006 Major League Soccer season

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

soccergoals function

A data frame with 35 observations on the following 1 variable.<dl class="dl-horizontal">
 <dt>goals</dt><dd>number of goals scored</dd>
 </dl>

Format

Goals scored by professional soccer team — soccergoals

A data frame with 35 observations on the following 1 variable.<dl class='dl-horizontal'>
 <dt>goals</dt><dd>number of goals scored</dd>
 </dl>

soccergoals: Goals scored by professional soccer team

Description

Usage

Arguments

Format