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Package: eco
Version: 3.1-6
Date: 2012-5-29
Title: R Package for Ecological Inference in 2x2 Tables
Author: Kosuke Imai <kimai@princeton.edu>, Ying Lu <yl46@nyu.edu>,
        Aaron Strauss <abstraus@Princeton.EDU>.
Maintainer: Ying Lu <yl46@nyu.edu>
Depends: R (>= 2.0), MASS, utils
Description: eco is a publicly available R package that implements the
        Bayesian and likelihood methods proposed in Imai, Lu, and
        Strauss (2008) 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 (>= 2)
URL: http://imai.princeton.edu/software/eco.html
Packaged: 2012-05-29 15:44:23 UTC; kimai
Repository: CRAN
Date/Publication: 2012-06-12 06:36:54
Built: R 3.0.0; x86_64-pc-linux-gnu; 2013-04-30 00:19:25 UTC; unix