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

This package contains 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. Currently the package
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. The package 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

seizures function

A data frame with 295 observations on the following 5 variables.
  <dl>
    <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

Thall, P.F., and Vail, S.C. (1990) Some covariance models for longitudinal count data with
     ovserdispersion, Biometrics, 46: 657-671.

seizures: Epileptic seizures

Description

Usage

Arguments

Format

Source

References

Examples