Title: R Package for Fitting Bayesian Models of Ecological Inference in 2 by 2 Tables
Packaged: Thu Jun 16 08:19:55 2005; kimai

Title: R Package for Fitting Bayesian Models of Ecological Inference in 2x2 Tables
Description: eco is a publicly available R package that fits the
ecological inference in 2x2 tables. The models are fit
Packaged: Wed Jul  6 16:37:17 2005; kimai

Packaged: Thu Sep 29 20:44:14 2005; kimai

Packaged: Sat Sep 23 14:31:01 2006; kimai

Title: R Package for Ecological Inference in 2x2 Tables
Description: eco is a publicly available R package that implements the Bayesian
and likelihood methods proposed in Imai, Lu, and Strauss (2006) for
ecological inference in 2x2 tables as well as the method of
bounds introduced by Duncan and Davis (1953). The package fits both
parametric and nonparametric models using either the
Expectation-Maximization algorithms (for likelihood models) or the
Markov chain Monte Carlo algorithms (for Bayesian models). For all
models, the individual-level data can be incorporated into their
estimation whenever such data are available. The package also
provides a functionality which allows one to quantify the effect of
data aggregation on parameter estimation and hypothesis testing
Packaged: Wed Dec 27 21:05:06 2006; kimai

Package: eco
Version: 3.0-2
Date: 2007-1-11
Title: R Package for Ecological Inference in 2x2 Tables
Author: Kosuke Imai <kimai@princeton.edu>,
Ying Lu <ying.lu@colorado.edu>,
Aaron Strauss <abstraus@Princeton.EDU>.
Maintainer: Kosuke Imai <kimai@princeton.edu>
Depends: R (>= 2.0), MASS
Description: eco is a publicly available R package that implements the
Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2006)
for ecological inference in $2 \times 2$ tables as well as the
method of bounds introduced by Duncan and Davis (1953). The package
fits both parametric and nonparametric models using either the
Expectation-Maximization algorithms (for likelihood models) or the
Markov chain Monte Carlo algorithms (for Bayesian models).  For all
models, the individual-level data can be directly incorporated into
the estimation whenever such data are available. Along with
in-sample and out-of-sample predictions, the package also provides a
functionality which allows one to quantify the effect of data
aggregation on parameter estimation and hypothesis testing under the
parametric likelihood models.
LazyLoad: yes
LazyData: yes
License: GPL (version 2 or later)
URL: http://imai.princeton.edu/research/eco.html
Packaged: Thu Jan 11 08:41:29 2007; kimai