rolling


 This data was generated by Beckett and Diaconis (1994). They generate
 binary strings from rools of common thumbtacks. A 1 was recorded if the tack landed
 point up and 0 was recorder if the tack landed point down. All tacks started point down.
 Each tack was flicked 9 times. The data consit of 320 9-tuples. The actual data arose 
 from 16 "flickers" and 10 surfaces. Following Liu (1996), we treat the data as though
 they came from 320 different tacks. 


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

rolling function

A data frame with 320 observations on the following 2 variables.
  <dl>
    <dt><code>y1</code></dt><dd>a numeric vector giving the number of tacks landed point up.</dd> <dt><code>y2</code></dt><dd>a numeric vector giving the number of trials.</dd> </dl> 

Format

Beckett, L. and Diaconis. P. (1994). Spectral analysis fro discrete longitudinal 
  data. Adv. Math., 103: 107-128.

rolling: Rolling Thumbtacks Data

Description

Usage

Arguments

Format

Source

References

Examples