calculus.grades

Grades and other variables collected for a 
sample of calculus students.

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

calculus.grades function

A data frame with 100 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt>grade</dt><dd>indicates if student received a A or B in class</dd>
 <dt>prev.grade</dt><dd>indicates if student received a A in prerequisite math class</dd>
 <dt>act</dt><dd>score on the ACT math test</dd>
 </dl>

Format

Calculus grades dataset — calculus.grades

A data frame with 100 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt>grade</dt><dd>indicates if student received a A or B in class</dd>
 <dt>prev.grade</dt><dd>indicates if student received a A in prerequisite math class</dd>
 <dt>act</dt><dd>score on the ACT math test</dd>
 </dl>

calculus.grades: Calculus grades dataset

Description

Usage

Arguments

Format