puffin

Measurements on breedings of the common puffin on different
habits at Great Island, Newfoundland.

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

puffin function

A data frame with 38 observations on the following 5 variables.<dl class="dl-horizontal">
 <dt>Nest</dt><dd>nesting frequency (burrows per 9 square meters)</dd>
 <dt>Grass</dt><dd>grass cover (percentage)</dd>
 <dt>Soil</dt><dd>mean soil depth (in centimeters)</dd>
 <dt>Angle</dt><dd>angle of slope (in degrees)</dd>
 <dt>Distance</dt><dd>distance from cliff edge (in meters)</dd>
 </dl>

Format

Bird measurements from British islands — puffin

A data frame with 38 observations on the following 5 variables.<dl class='dl-horizontal'>
 <dt>Nest</dt><dd>nesting frequency (burrows per 9 square meters)</dd>
 <dt>Grass</dt><dd>grass cover (percentage)</dd>
 <dt>Soil</dt><dd>mean soil depth (in centimeters)</dd>
 <dt>Angle</dt><dd>angle of slope (in degrees)</dd>
 <dt>Distance</dt><dd>distance from cliff edge (in meters)</dd>
 </dl>

puffin: Bird measurements from British islands

Description

Usage

Arguments

Format