birthweight

Dobson describes a study where one is interested in predicting 
a baby's birthweight based on the gestational age and the baby's
gender.

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

birthweight function

A data frame with 24 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt>age</dt><dd>gestational age in weeks</dd>
 <dt>gender</dt><dd>gender of the baby where 0 (1) is male (female)</dd>
 <dt>weight</dt><dd>birthweight of baby in grams</dd>
 </dl>

Format

Birthweight regression study — birthweight

A data frame with 24 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt>age</dt><dd>gestational age in weeks</dd>
 <dt>gender</dt><dd>gender of the baby where 0 (1) is male (female)</dd>
 <dt>weight</dt><dd>birthweight of baby in grams</dd>
 </dl>

birthweight: Birthweight regression study

Description

Usage

Arguments

Format