iowagpa

Students at a major university are categorized with respect to their
high school rank and their ACT score. For each combination of high school rank and
ACT score, one records the mean grade point average (GPA).

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

iowagpa function

A data frame with 40 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt>gpa</dt><dd>mean grade point average</dd>
 <dt>n</dt><dd>sample size</dd>
 <dt>HSR</dt><dd>high school rank</dd>
 <dt>ACT</dt><dd>act score</dd>
 </dl>

Format

Admissions data for an university — iowagpa

A data frame with 40 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt>gpa</dt><dd>mean grade point average</dd>
 <dt>n</dt><dd>sample size</dd>
 <dt>HSR</dt><dd>high school rank</dd>
 <dt>ACT</dt><dd>act score</dd>
 </dl>

iowagpa: Admissions data for an university

Description

Usage

Arguments

Format