schoolgirls

This data set consider growth information of 20 preadolescent schoolgirls reported by Goldstein 
 (1979, Table 4.3, p. 101). The height of girls was measured on a yearly basis from age 6 to 10. 
 The measurements are given at exact years of age, some having been previously adjusted to these. 
 Further, the girls were classified according to the height of their mother into three categories: 
 short mothers, medium mothers and tall mothers.

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

schoolgirls function

A data frame with 100 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt><code>height</code></dt><dd>a numeric vector giving the height in cm</dd>
 <dt><code>child</code></dt><dd>an ordered factor giving a unique identifier for the subject in the study</dd> 
 <dt><code>age</code></dt><dd>a numeric vector giving the age of the child in years</dd>
 <dt><code>group</code></dt><dd>a factor with levels 1 (short), 2 (medium), and 3 (tall) giving the 
 mother category</dd>
 </dl>

Format

The Heights of Schoolgirls — schoolgirls

A data frame with 100 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt><code>height</code></dt><dd>a numeric vector giving the height in cm</dd>
 <dt><code>child</code></dt><dd>an ordered factor giving a unique identifier for the subject in the study</dd> 
 <dt><code>age</code></dt><dd>a numeric vector giving the age of the child in years</dd>
 <dt><code>group</code></dt><dd>a factor with levels 1 (short), 2 (medium), and 3 (tall) giving the 
 mother category</dd>
 </dl>

schoolgirls: The Heights of Schoolgirls

Description

Usage

Arguments

Format

Details

References

Examples