seizures

This data set consider information from a clinical trial of 59 epileptics,
 reported by Thall and Vail (1990). For each patient, the number of epileptic
 seizures was recorded during a baseline period of eight weeks. Patients were
 then randomized to treatment with the anti-epileptic drug progabide, or to
 aplacebo in addition to standard chemotherapy. The number of seizures was then
 recorded in four consecutive two-weeks intervals.

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

seizures function

A data frame with 295 observations on the following 5 variables.<dl class="dl-horizontal">
 <dt><code>id</code></dt><dd>an ordered factor giving a unique identifier for the subject in the study.</dd>
 <dt><code>seize</code></dt><dd>a numeric vector giving the number of epileptic seizures.</dd>
 <dt><code>visit</code></dt><dd>a numeric vector giving the number of the visit, 0=baseline, and
 1,2,3, and 4 for the four consecutive two-weeks intervals.</dd>
 <dt><code>trt</code></dt><dd>a numeric vector giving the treatment group.</dd>
 <dt><code>age</code></dt><dd>a numeric vector giving the age at the entry.</dd>
 </dl>

Format

Epileptic seizures — seizures

A data frame with 295 observations on the following 5 variables.<dl class='dl-horizontal'>
 <dt><code>id</code></dt><dd>an ordered factor giving a unique identifier for the subject in the study.</dd>
 <dt><code>seize</code></dt><dd>a numeric vector giving the number of epileptic seizures.</dd>
 <dt><code>visit</code></dt><dd>a numeric vector giving the number of the visit, 0=baseline, and
 1,2,3, and 4 for the four consecutive two-weeks intervals.</dd>
 <dt><code>trt</code></dt><dd>a numeric vector giving the treatment group.</dd>
 <dt><code>age</code></dt><dd>a numeric vector giving the age at the entry.</dd>
 </dl>

seizures: Epileptic seizures

Description

Usage

Arguments

Format

References

Examples