eco: Ecological Inference in 2x2 Tables

We implement the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008, 2011) for ecological inference in 2 by 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.

Version: 3.1-7
Depends: R (≥ 2.0), MASS, utils
Published: 2015-03-19
Author: Kosuke Imai, Ying Lu, Aaron B Strauss.
Maintainer: Ying Lu <yl46 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: eco citation info
Materials: ChangeLog
In views: Bayesian, Environmetrics
CRAN checks: eco results


Reference manual: eco.pdf
Package source: eco_3.1-7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: eco_3.1-7.tgz
OS X Mavericks binaries: r-oldrel: eco_3.1-7.tgz
Old sources: eco archive


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