sports

This data set consider information from 202 elite Australian athletes who trained
 at the Australian Institute of Sport. The members of the sample participate in a 
 number of different sports and are about equally split between men and women.

datasets

Functions to perform inference via
simulation from the posterior distributions for Bayesian
nonparametric and semiparametric models. Although the name of
the package was motivated by the Dirichlet Process prior, the
package considers and will consider other priors on functional
spaces. So far, DPpackage includes models considering Dirichlet
Processes, Dependent Dirichlet Processes, Dependent Poisson-
Dirichlet Processes, Hierarchical Dirichlet Processes, Polya
Trees, Linear Dependent Tailfree Processes, Mixtures of
Triangular distributions, Random Bernstein polynomials priors
and Dependent Bernstein Polynomials.  The package also includes
models considering Penalized B-Splines.
Includes semiparametric models for marginal and conditional
density estimation, ROC curve analysis, interval censored data,
binary regression models, generalized linear mixed models, IRT
type models, and generalized additive models. Also
contains functions to compute Pseudo-Bayes factors for model
comparison, and to elicitate the precision parameter of the
Dirichlet Process. To maximize computational efficiency, the
actual sampling for each model is done in compiled FORTRAN. The
functions return objects which can be subsequently analyzed
with functions provided in the 'coda' package.

Alejandro Jara

DPpackage

Bayesian Nonparametric Modeling in R

Timothy Hanson

Fernando Quintana

Peter Mueller

Gary Rosner

sports function

A data frame with 202 observations on the following 13 variables.<dl class="dl-horizontal">
 <dt><code>gender</code></dt><dd>a factor with levels <code>female</code> and <code>male</code></dd>
 <dt><code>sport</code></dt><dd>a factor with levels <code>B_Ball</code>, <code>Field</code>, <code>Gym</code>, <code>Netball</code>,
 <code>Row</code>, <code>Swim</code>, <code>T_400m</code>, <code>T_Sprnt</code>, <code>Tennis</code>,
 and <code>W_Polo</code></dd>
 <dt><code>rcc</code></dt><dd>a numeric vector giving the red cell count</dd>
 <dt><code>wcc</code></dt><dd>a numeric vector giving the white cell count</dd>
 <dt><code>Hc</code></dt><dd>a numeric vector giving the Hematocrit</dd>
 <dt><code>Hg</code></dt><dd>a numeric vector giving the Hemoglobin level</dd>
 <dt><code>Fe</code></dt><dd>a numeric vector giving the plasma ferritin concentration</dd>
 <dt><code>bmi</code></dt><dd>a numeric vector giving the body mass index, weight/(height)**2</dd>
 <dt><code>ssf</code></dt><dd>a numeric vector giving the sum of skin folds</dd>
 <dt><code>Bfat</code></dt><dd>a numeric vector giving the body fat percentage</dd>
 <dt><code>lbm</code></dt><dd>a numeric vector giving the lean body mass</dd>
 <dt><code>Ht</code></dt><dd>a numeric vector giving the height (cm)</dd>
 <dt><code>Wt</code></dt><dd>a numeric vector giving the weight (Kg)</dd>
 </dl>

Format

The Australian Athletes Data — sports

A data frame with 202 observations on the following 13 variables.<dl class='dl-horizontal'>
 <dt><code>gender</code></dt><dd>a factor with levels <code>female</code> and <code>male</code></dd>
 <dt><code>sport</code></dt><dd>a factor with levels <code>B_Ball</code>, <code>Field</code>, <code>Gym</code>, <code>Netball</code>,
 <code>Row</code>, <code>Swim</code>, <code>T_400m</code>, <code>T_Sprnt</code>, <code>Tennis</code>,
 and <code>W_Polo</code></dd>
 <dt><code>rcc</code></dt><dd>a numeric vector giving the red cell count</dd>
 <dt><code>wcc</code></dt><dd>a numeric vector giving the white cell count</dd>
 <dt><code>Hc</code></dt><dd>a numeric vector giving the Hematocrit</dd>
 <dt><code>Hg</code></dt><dd>a numeric vector giving the Hemoglobin level</dd>
 <dt><code>Fe</code></dt><dd>a numeric vector giving the plasma ferritin concentration</dd>
 <dt><code>bmi</code></dt><dd>a numeric vector giving the body mass index, weight/(height)**2</dd>
 <dt><code>ssf</code></dt><dd>a numeric vector giving the sum of skin folds</dd>
 <dt><code>Bfat</code></dt><dd>a numeric vector giving the body fat percentage</dd>
 <dt><code>lbm</code></dt><dd>a numeric vector giving the lean body mass</dd>
 <dt><code>Ht</code></dt><dd>a numeric vector giving the height (cm)</dd>
 <dt><code>Wt</code></dt><dd>a numeric vector giving the weight (Kg)</dd>
 </dl>

sports: The Australian Athletes Data

Description

Usage

Arguments

Format

References

Examples